[{"user_id":"88024","_id":"64823","language":[{"iso":"eng"}],"date_updated":"2026-03-13T12:10:10Z","status":"public","title":"Challenges in Android Data Disclosure: An Empirical Study.","year":"2026","conference":{"location":"Rio de Janeiro, Brazil","start_date":"2026-04-12","name":"13th International Conference on Mobile Software Engineering and Systems 2024","end_date":"2026-04-18"},"author":[{"full_name":"Khedkar, Mugdha","first_name":"Mugdha","last_name":"Khedkar","id":"88024"},{"id":"32312","orcid":"0000-0001-6600-6171","last_name":"Schlichtig","first_name":"Michael","full_name":"Schlichtig, Michael"},{"full_name":"Soliman, Mohamed Aboubakr Mohamed","first_name":"Mohamed Aboubakr Mohamed","last_name":"Soliman","id":"102489"},{"orcid":"0000-0003-3470-3647","first_name":"Eric","last_name":"Bodden","full_name":"Bodden, Eric","id":"59256"}],"type":"conference","keyword":["static analysis","data collection","data protection","privacy-aware reporting"],"department":[{"_id":"76"}],"external_id":{"arxiv":["2601.20459"]},"date_created":"2026-03-04T08:10:43Z","abstract":[{"text":"Current legal frameworks enforce that Android developers accurately report the data their apps collect. However, large codebases can make this reporting challenging. This paper employs an empirical approach to understand developers' experience with Google Play Store's Data Safety Section (DSS) form.\r\n\r\nWe first survey 41 Android developers to understand how they categorize privacy-related data into DSS categories and how confident they feel when completing the DSS form. To gain a broader and more detailed view of the challenges developers encounter during the process, we complement the survey with an analysis of 172 online developer discussions, capturing the perspectives of 642 additional developers. Together, these two data sources represent insights from 683 developers.\r\n\r\nOur findings reveal that developers often manually classify the privacy-related data their apps collect into the data categories defined by Google-or, in some cases, omit classification entirely-and rely heavily on existing online resources when completing the form. Moreover, developers are generally confident in recognizing the data their apps collect, yet they lack confidence in translating this knowledge into DSS-compliant disclosures. Key challenges include issues in identifying privacy-relevant data to complete the form, limited understanding of the form, and concerns about app rejection due to discrepancies with Google's privacy requirements.\r\nThese results underscore the need for clearer guidance and more accessible tooling to support developers in meeting privacy-aware reporting obligations. ","lang":"eng"}],"publication":"Proceedings of the IEEE/ACM 13th International Conference on Mobile Software Engineering and Systems (MOBILESoft '26). Association for Computing Machinery, New York, NY, USA, 65–68.","citation":{"short":"M. Khedkar, M. Schlichtig, M.A.M. Soliman, E. Bodden, in: Proceedings of the IEEE/ACM 13th International Conference on Mobile Software Engineering and Systems (MOBILESoft ’26). Association for Computing Machinery, New York, NY, USA, 65–68., 2026.","chicago":"Khedkar, Mugdha, Michael Schlichtig, Mohamed Aboubakr Mohamed Soliman, and Eric Bodden. “Challenges in Android Data Disclosure: An Empirical Study.” In <i>Proceedings of the IEEE/ACM 13th International Conference on Mobile Software Engineering and Systems (MOBILESoft ’26). Association for Computing Machinery, New York, NY, USA, 65–68.</i>, 2026.","ieee":"M. Khedkar, M. Schlichtig, M. A. M. Soliman, and E. Bodden, “Challenges in Android Data Disclosure: An Empirical Study.,” presented at the 13th International Conference on Mobile Software Engineering and Systems 2024, Rio de Janeiro, Brazil, 2026.","apa":"Khedkar, M., Schlichtig, M., Soliman, M. A. M., &#38; Bodden, E. (2026). Challenges in Android Data Disclosure: An Empirical Study. <i>Proceedings of the IEEE/ACM 13th International Conference on Mobile Software Engineering and Systems (MOBILESoft ’26). Association for Computing Machinery, New York, NY, USA, 65–68.</i> 13th International Conference on Mobile Software Engineering and Systems 2024, Rio de Janeiro, Brazil.","bibtex":"@inproceedings{Khedkar_Schlichtig_Soliman_Bodden_2026, title={Challenges in Android Data Disclosure: An Empirical Study.}, booktitle={Proceedings of the IEEE/ACM 13th International Conference on Mobile Software Engineering and Systems (MOBILESoft ’26). Association for Computing Machinery, New York, NY, USA, 65–68.}, author={Khedkar, Mugdha and Schlichtig, Michael and Soliman, Mohamed Aboubakr Mohamed and Bodden, Eric}, year={2026} }","ama":"Khedkar M, Schlichtig M, Soliman MAM, Bodden E. Challenges in Android Data Disclosure: An Empirical Study. In: <i>Proceedings of the IEEE/ACM 13th International Conference on Mobile Software Engineering and Systems (MOBILESoft ’26). Association for Computing Machinery, New York, NY, USA, 65–68.</i> ; 2026.","mla":"Khedkar, Mugdha, et al. “Challenges in Android Data Disclosure: An Empirical Study.” <i>Proceedings of the IEEE/ACM 13th International Conference on Mobile Software Engineering and Systems (MOBILESoft ’26). Association for Computing Machinery, New York, NY, USA, 65–68.</i>, 2026."}},{"citation":{"ama":"Werth O, Koldewey C, Uslar M, Zerbin J. What Characterizes Data Spaces in Industry 4.0? Towards a Better Understanding. In: <i>Lecture Notes in Business Information Processing</i>. Springer Nature Switzerland; 2026. doi:<a href=\"https://doi.org/10.1007/978-3-032-14518-5_3\">10.1007/978-3-032-14518-5_3</a>","bibtex":"@inproceedings{Werth_Koldewey_Uslar_Zerbin_2026, place={Cham}, title={What Characterizes Data Spaces in Industry 4.0? Towards a Better Understanding}, DOI={<a href=\"https://doi.org/10.1007/978-3-032-14518-5_3\">10.1007/978-3-032-14518-5_3</a>}, booktitle={Lecture Notes in Business Information Processing}, publisher={Springer Nature Switzerland}, author={Werth, Oliver and Koldewey, Christian and Uslar, Mathias and Zerbin, Julian}, year={2026} }","mla":"Werth, Oliver, et al. “What Characterizes Data Spaces in Industry 4.0? Towards a Better Understanding.” <i>Lecture Notes in Business Information Processing</i>, Springer Nature Switzerland, 2026, doi:<a href=\"https://doi.org/10.1007/978-3-032-14518-5_3\">10.1007/978-3-032-14518-5_3</a>.","chicago":"Werth, Oliver, Christian Koldewey, Mathias Uslar, and Julian Zerbin. “What Characterizes Data Spaces in Industry 4.0? Towards a Better Understanding.” In <i>Lecture Notes in Business Information Processing</i>. Cham: Springer Nature Switzerland, 2026. <a href=\"https://doi.org/10.1007/978-3-032-14518-5_3\">https://doi.org/10.1007/978-3-032-14518-5_3</a>.","short":"O. Werth, C. Koldewey, M. Uslar, J. Zerbin, in: Lecture Notes in Business Information Processing, Springer Nature Switzerland, Cham, 2026.","apa":"Werth, O., Koldewey, C., Uslar, M., &#38; Zerbin, J. (2026). What Characterizes Data Spaces in Industry 4.0? Towards a Better Understanding. <i>Lecture Notes in Business Information Processing</i>. 16th International Conference on Software Business (ICSOB 2025), Stuttgart, Germany. <a href=\"https://doi.org/10.1007/978-3-032-14518-5_3\">https://doi.org/10.1007/978-3-032-14518-5_3</a>","ieee":"O. Werth, C. Koldewey, M. Uslar, and J. Zerbin, “What Characterizes Data Spaces in Industry 4.0? Towards a Better Understanding,” presented at the 16th International Conference on Software Business (ICSOB 2025), Stuttgart, Germany, 2026, doi: <a href=\"https://doi.org/10.1007/978-3-032-14518-5_3\">10.1007/978-3-032-14518-5_3</a>."},"quality_controlled":"1","place":"Cham","conference":{"end_date":"2025-11-26","location":"Stuttgart, Germany","start_date":"2025-11-24","name":"16th International Conference on Software Business (ICSOB 2025)"},"status":"public","_id":"63754","publisher":"Springer Nature Switzerland","user_id":"51711","publication":"Lecture Notes in Business Information Processing","abstract":[{"text":"Data spaces are receiving an emerging interest in Information Systems Research and industry practice. They are central to many European research initiatives and shape the data economy in Industry 4.0. Generally, they aim to create secure environments for cross-organizational data management and sharing. Currently, there is considerable interest in developing new data spaces in Industry 4.0, also accelerated through regulatory changes. However, key questions about what precisely characterizes a data space in Industry 4.0 remain unresolved. Against this backdrop, we build a taxonomy of data spaces in the Industry 4.0 context. We identified nine distinctive dimensions and 40 corresponding characteristics among the 19 data spaces analyzed. The taxonomy enables clearer classification and nomenclature of data spaces in this context. This short paper will ignite planned further research on data spaces in Industry 4.0 and contribute to a conceptualization of a taxonomic theory for interested researchers.","lang":"eng"}],"date_created":"2026-01-27T11:56:10Z","department":[{"_id":"563"}],"keyword":["Industry 4.0","Taxonomy","Data spaces","Characterization"],"type":"conference","author":[{"full_name":"Werth, Oliver","last_name":"Werth","first_name":"Oliver"},{"first_name":"Christian","last_name":"Koldewey","orcid":"https://orcid.org/0000-0001-7992-6399","full_name":"Koldewey, Christian","id":"43136"},{"first_name":"Mathias","last_name":"Uslar","full_name":"Uslar, Mathias"},{"id":"51711","full_name":"Zerbin, Julian","first_name":"Julian","last_name":"Zerbin"}],"publication_identifier":{"issn":["1865-1348","1865-1356"],"isbn":["9783032145178","9783032145185"]},"title":"What Characterizes Data Spaces in Industry 4.0? Towards a Better Understanding","year":"2026","publication_status":"published","date_updated":"2026-03-18T07:12:49Z","language":[{"iso":"eng"}],"doi":"10.1007/978-3-032-14518-5_3"},{"main_file_link":[{"open_access":"1","url":"https://www.cambridge.org/core/journals/proceedings-of-the-design-society/article/leveraging-extremescale-simulation-data-a-workflow-framework-for-multidisciplinary-simulator-integration/7487C465DBA5DC633F1A37609C2E3D70"}],"language":[{"iso":"eng"}],"doi":"10.1017/pds.2026.10394","year":"2026","title":"Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration","author":[{"id":"47565","first_name":"Iris","orcid":"0000-0001-5765-971X","last_name":"Gräßler","full_name":"Gräßler, Iris"},{"id":"108017","full_name":"Döhner, Niklas","first_name":"Niklas","last_name":"Döhner","orcid":"https://orcid.org/0009-0005-7676-4036"}],"publication_identifier":{"issn":["2732-527X"]},"publication_status":"published","date_updated":"2026-07-06T15:50:37Z","intvolume":"         6","date_created":"2026-07-06T15:45:02Z","keyword":["simulation-based design","design tools","multi-/cross-/trans-disciplinary approaches","simulation data reuse"],"type":"conference","department":[{"_id":"152"}],"publication":"Proceedings of the Design Society","abstract":[{"text":"<jats:title>ABSTRACT:</jats:title>\r\n                  <jats:p>Engineers simulate system behavior to support decisions in product engineering. Leveraging such engineering simulation data in strategic product planning can support idea generation and early evaluation of design alternatives and limitations. However, limited resources and expertise hinder broader uptake in strategic product planning. This paper investigates simulator integration into automated workflows and key processing components to enable simulation without in-depth expertise. This approach improves strategic product planning by creating data-based decision support.</jats:p>","lang":"eng"}],"page":"357-366","publisher":"Cambridge University Press (CUP)","_id":"66288","user_id":"108017","volume":6,"status":"public","oa":"1","citation":{"ama":"Gräßler I, Döhner N. Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration. In: <i>Proceedings of the Design Society</i>. Vol 6. Cambridge University Press (CUP); 2026:357-366. doi:<a href=\"https://doi.org/10.1017/pds.2026.10394\">10.1017/pds.2026.10394</a>","bibtex":"@inproceedings{Gräßler_Döhner_2026, title={Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration}, volume={6}, DOI={<a href=\"https://doi.org/10.1017/pds.2026.10394\">10.1017/pds.2026.10394</a>}, booktitle={Proceedings of the Design Society}, publisher={Cambridge University Press (CUP)}, author={Gräßler, Iris and Döhner, Niklas}, year={2026}, pages={357–366} }","mla":"Gräßler, Iris, and Niklas Döhner. “Leveraging Extreme-Scale Simulation Data: A Workflow Framework for Multidisciplinary Simulator Integration.” <i>Proceedings of the Design Society</i>, vol. 6, Cambridge University Press (CUP), 2026, pp. 357–66, doi:<a href=\"https://doi.org/10.1017/pds.2026.10394\">10.1017/pds.2026.10394</a>.","short":"I. Gräßler, N. Döhner, in: Proceedings of the Design Society, Cambridge University Press (CUP), 2026, pp. 357–366.","chicago":"Gräßler, Iris, and Niklas Döhner. “Leveraging Extreme-Scale Simulation Data: A Workflow Framework for Multidisciplinary Simulator Integration.” In <i>Proceedings of the Design Society</i>, 6:357–66. Cambridge University Press (CUP), 2026. <a href=\"https://doi.org/10.1017/pds.2026.10394\">https://doi.org/10.1017/pds.2026.10394</a>.","apa":"Gräßler, I., &#38; Döhner, N. (2026). Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration. <i>Proceedings of the Design Society</i>, <i>6</i>, 357–366. <a href=\"https://doi.org/10.1017/pds.2026.10394\">https://doi.org/10.1017/pds.2026.10394</a>","ieee":"I. Gräßler and N. Döhner, “Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration,” in <i>Proceedings of the Design Society</i>, 2026, vol. 6, pp. 357–366, doi: <a href=\"https://doi.org/10.1017/pds.2026.10394\">10.1017/pds.2026.10394</a>."},"quality_controlled":"1"},{"citation":{"mla":"Pottebaum, Jens, et al. <i>Understanding the Value of Data Ecosystems for Circular Economy Metrics</i>. Manufacturing-X Guidance Board, 2026, doi:<a href=\"https://doi.org/10.24406/PUBLICA-9382\">10.24406/PUBLICA-9382</a>.","bibtex":"@book{Pottebaum_Dietrich_Schmidt_Biglari_Schmidt_Pistillo_Gravina_Schmidt_2026, place={Berlin}, title={Understanding the Value of Data Ecosystems for Circular Economy Metrics}, DOI={<a href=\"https://doi.org/10.24406/PUBLICA-9382\">10.24406/PUBLICA-9382</a>}, publisher={Manufacturing-X Guidance Board}, author={Pottebaum, Jens and Dietrich, Katrin and Schmidt, Lara and Biglari, Mostafa and Schmidt, Michael-Georg and Pistillo, Alessandro and Gravina, Nadja and Schmidt, Franziska}, year={2026} }","ama":"Pottebaum J, Dietrich K, Schmidt L, et al. <i>Understanding the Value of Data Ecosystems for Circular Economy Metrics</i>. Manufacturing-X Guidance Board; 2026. doi:<a href=\"https://doi.org/10.24406/PUBLICA-9382\">10.24406/PUBLICA-9382</a>","ieee":"J. Pottebaum <i>et al.</i>, <i>Understanding the Value of Data Ecosystems for Circular Economy Metrics</i>. Berlin: Manufacturing-X Guidance Board, 2026.","apa":"Pottebaum, J., Dietrich, K., Schmidt, L., Biglari, M., Schmidt, M.-G., Pistillo, A., Gravina, N., &#38; Schmidt, F. (2026). <i>Understanding the Value of Data Ecosystems for Circular Economy Metrics</i>. Manufacturing-X Guidance Board. <a href=\"https://doi.org/10.24406/PUBLICA-9382\">https://doi.org/10.24406/PUBLICA-9382</a>","chicago":"Pottebaum, Jens, Katrin Dietrich, Lara Schmidt, Mostafa Biglari, Michael-Georg Schmidt, Alessandro Pistillo, Nadja Gravina, and Franziska Schmidt. <i>Understanding the Value of Data Ecosystems for Circular Economy Metrics</i>. Berlin: Manufacturing-X Guidance Board, 2026. <a href=\"https://doi.org/10.24406/PUBLICA-9382\">https://doi.org/10.24406/PUBLICA-9382</a>.","short":"J. Pottebaum, K. Dietrich, L. Schmidt, M. Biglari, M.-G. Schmidt, A. Pistillo, N. Gravina, F. Schmidt, Understanding the Value of Data Ecosystems for Circular Economy Metrics, Manufacturing-X Guidance Board, Berlin, 2026."},"place":"Berlin","oa":"1","status":"public","has_accepted_license":"1","_id":"66548","publisher":"Manufacturing-X Guidance Board","user_id":"405","abstract":[{"lang":"eng","text":"The Circular Economy is considered a key approach to addressing resource scarcity, rising raw material prices, and the need for more resilient value chains. However, its practical implementation is often hindered by the lack of suitable and standardized metrics, as well as by high requirements for horizontal and vertical data integration. This white paper illustrates, through selected Manufacturing-X projects, how federated data ecosystems can help establish Circular Economy metrics as an effective management instrument for growth, margin protection, and resilience.\r\nBased on literature, industrial practice, and demonstrators, Circular Economy metrics are structured into four groups: overarching assessment approaches, disassembly-related indicators, lifetime-oriented metrics, and end-of-life and recycling-focused indicators. Use cases from Construct-X, Decide4ECO, Fluid 4.0, Chem-X, and other Manufacturing-X initiatives demonstrate the benefits of data-driven approaches for product, component, and material loops. At the same time, they reveal a current lack of interoperable, cross-industry standards for both metrics and data models.\r\nThe white paper concludes that data ecosystems such as Manufacturing-X are a key enabler for scaling circular business models. In particular, shared cross-sector frameworks for metrics, standardized information models based for example on the Asset Administration Shell, and the integration of circular metrics into existing systems and processes are essential. The work presented therefore marks an important step toward a data-driven and economically viable Circular Economy."}],"date_created":"2026-07-20T19:06:41Z","type":"report","keyword":["Circular Economy","Circular Economy Metrics","Manufacturing-X","Data Ecosystems"],"department":[{"_id":"152"}],"year":"2026","title":"Understanding the Value of Data Ecosystems for Circular Economy Metrics","author":[{"full_name":"Pottebaum, Jens","first_name":"Jens","orcid":"http://orcid.org/0000-0001-8778-2989","last_name":"Pottebaum","id":"405"},{"full_name":"Dietrich, Katrin","first_name":"Katrin","last_name":"Dietrich"},{"first_name":"Lara","last_name":"Schmidt","full_name":"Schmidt, Lara"},{"last_name":"Biglari","first_name":"Mostafa","full_name":"Biglari, Mostafa"},{"last_name":"Schmidt","first_name":"Michael-Georg","full_name":"Schmidt, Michael-Georg"},{"full_name":"Pistillo, Alessandro","first_name":"Alessandro","last_name":"Pistillo"},{"full_name":"Gravina, Nadja","first_name":"Nadja","last_name":"Gravina"},{"last_name":"Schmidt","first_name":"Franziska","full_name":"Schmidt, Franziska"}],"date_updated":"2026-07-20T19:13:06Z","publication_status":"published","main_file_link":[{"open_access":"1"}],"language":[{"iso":"eng"}],"doi":"10.24406/PUBLICA-9382"},{"abstract":[{"lang":"ger","text":"Für Lehrer*innen ist es wichtig, über die Qualität ihrer Arbeit informiert zu sein, um sich an Schul- und Unterrichtsentwicklung beteiligen zu können. Das vorliegende Lehrbuch bietet anhand eines erprobten Modells – eines Forschungszyklus in Verbindung mit einem ergänzenden Innovationszyklus – konkrete Hilfestellungen, um die eigene Tätigkeit zu reflektieren und weiterzuentwickeln.\r\nDer zugrundeliegende Ansatz verbindet erfolgreiche Verfahren aus der niederländischen Lehrerinnen- und Lehrerbildung mit etablierten Methoden der schulischen Praxisforschung im deutschsprachigen Raum. Zahlreiche alltagsbezogene Beispiele illustrieren die Grundsätze und Verfahrensschritte, während Übungsaufgaben zu Vertiefung und Wiederholung anregen."}],"citation":{"apa":"Textor, A., Kullmann, H., van der Donk, C., &#38; van Lanen, B. (2026). <i>Praxisforschung in Schule und Unterricht</i>. Beltz Juventa.","ieee":"A. Textor, H. Kullmann, C. van der Donk, and B. van Lanen, <i>Praxisforschung in Schule und Unterricht</i>. Weinheim: Beltz Juventa, 2026.","short":"A. Textor, H. Kullmann, C. van der Donk, B. van Lanen, Praxisforschung in Schule und Unterricht, Beltz Juventa, Weinheim, 2026.","chicago":"Textor, Annette, Harry Kullmann, Cyrilla van der Donk, and Bas van Lanen. <i>Praxisforschung in Schule und Unterricht</i>. Weinheim: Beltz Juventa, 2026.","mla":"Textor, Annette, et al. <i>Praxisforschung in Schule und Unterricht</i>. Beltz Juventa, 2026.","ama":"Textor A, Kullmann H, van der Donk C, van Lanen B. <i>Praxisforschung in Schule und Unterricht</i>. Beltz Juventa; 2026.","bibtex":"@book{Textor_Kullmann_van der Donk_van Lanen_2026, place={Weinheim}, title={Praxisforschung in Schule und Unterricht}, publisher={Beltz Juventa}, author={Textor, Annette and Kullmann, Harry and van der Donk, Cyrilla and van Lanen, Bas}, year={2026} }"},"type":"book","keyword":["Praxisforschung","Schulentwicklung","Inklusion","Data Literacy"],"place":"Weinheim","date_created":"2026-07-14T08:10:44Z","date_updated":"2026-07-14T12:03:43Z","publication_status":"published","year":"2026","status":"public","title":"Praxisforschung in Schule und Unterricht","publication_identifier":{"isbn":["978-3-7799-4739-4"]},"author":[{"last_name":"Textor","first_name":"Annette","full_name":"Textor, Annette"},{"orcid":"0000-0001-5488-5105","first_name":"Harry","last_name":"Kullmann","full_name":"Kullmann, Harry","id":"77972"},{"last_name":"van der Donk","first_name":"Cyrilla","full_name":"van der Donk, Cyrilla"},{"last_name":"van Lanen","first_name":"Bas","full_name":"van Lanen, Bas"}],"jel":["I24"],"user_id":"77972","page":"343","publisher":"Beltz Juventa","_id":"66478","language":[{"iso":"ger"}]},{"has_accepted_license":"1","date_updated":"2026-07-16T09:07:19Z","jel":["C22","C4","C5","C6","B26"],"author":[{"last_name":"Hanke","first_name":"Dominik Christian","full_name":"Hanke, Dominik Christian","id":"63677"},{"id":"36049","full_name":"Uhde, André","first_name":"André","last_name":"Uhde"},{"last_name":"Feng","first_name":"Yuanhua","full_name":"Feng, Yuanhua","id":"20760"}],"status":"public","year":"2026","title":"Application of Novel Exponential (Semi-)Parametric Short and Long  Memory GARCH Models under Regulatory Requirements of Basel III","ddc":["330"],"user_id":"63677","language":[{"iso":"eng"}],"_id":"66449","abstract":[{"lang":"eng","text":"This paper evaluates the forecasting performance of an expanded class of (semi-)parametric \r\nGARCH models belonging to the EGARCH family (EGF), including recently introduced long  \r\nand short memory specifications and their semiparametric extensions. The semiparametric \r\nvariants employ a multiplicative volatility decomposition into conditional and slowly varying \r\nunconditional components, where the latter is estimated via a data-driven local polynomial \r\nsmoother to accommodate non-stationarities commonly observed in financial time series. Based \r\non the revised Basel Committee framework for market-risk assessment, all models are capable \r\nof producing rolling one-day-ahead forecasts for Value at Risk (VaR) and Expected Shortfall \r\n(ES) under a wide range of symmetric and skewed innovation distributions. Their forecasting \r\naccuracy is examined using the regulatory traffic light tests for VaR and the recently developed \r\nES-specific traffic light procedure, complemented by the regulatory loss function. In addition, \r\nmodel selection incorporates both a recently proposed corrected firm-oriented loss function that \r\naccounts for opportunity costs and the Weighted Absolute Deviation (WAD) criterion. The \r\nempirical comparison demonstrates that (semiparametric) long memory GARCH models - \r\nparticularly those combining fractional dynamics with nonparametric scale adjustments - can \r\nserve as valuable alternatives to traditional parametric short memory models, offering more \r\nstable volatility estimates and improved tail-risk forecasts for practical risk management \r\napplications."}],"citation":{"chicago":"Hanke, Dominik Christian, André Uhde, and Yuanhua Feng. <i>Application of Novel Exponential (Semi-)Parametric Short and Long  Memory GARCH Models under Regulatory Requirements of Basel III</i>, 2026.","short":"D.C. Hanke, A. Uhde, Y. Feng, Application of Novel Exponential (Semi-)Parametric Short and Long  Memory GARCH Models under Regulatory Requirements of Basel III, 2026.","ieee":"D. C. Hanke, A. Uhde, and Y. Feng, <i>Application of Novel Exponential (Semi-)Parametric Short and Long  Memory GARCH Models under Regulatory Requirements of Basel III</i>. 2026.","apa":"Hanke, D. C., Uhde, A., &#38; Feng, Y. (2026). <i>Application of Novel Exponential (Semi-)Parametric Short and Long  Memory GARCH Models under Regulatory Requirements of Basel III</i>.","bibtex":"@book{Hanke_Uhde_Feng_2026, title={Application of Novel Exponential (Semi-)Parametric Short and Long  Memory GARCH Models under Regulatory Requirements of Basel III}, author={Hanke, Dominik Christian and Uhde, André and Feng, Yuanhua}, year={2026} }","ama":"Hanke DC, Uhde A, Feng Y. <i>Application of Novel Exponential (Semi-)Parametric Short and Long  Memory GARCH Models under Regulatory Requirements of Basel III</i>.; 2026.","mla":"Hanke, Dominik Christian, et al. <i>Application of Novel Exponential (Semi-)Parametric Short and Long  Memory GARCH Models under Regulatory Requirements of Basel III</i>. 2026."},"file_date_updated":"2026-07-13T09:21:45Z","oa":"1","department":[{"_id":"200"},{"_id":"186"}],"type":"working_paper","keyword":["semiparametric GARCH extension","data-driven local polynomial smoother","long  memory","GARCH models","Value at Risk","Expected Shortfall","traffic light test","backtesting","Basel  III","market risk"],"date_created":"2026-07-13T09:21:49Z","file":[{"content_type":"application/pdf","file_id":"66450","date_updated":"2026-07-13T09:21:45Z","relation":"main_file","file_size":1830858,"access_level":"open_access","file_name":"TAF_WP_105_HankeUhdeFeng2026.pdf","date_created":"2026-07-13T09:21:45Z","creator":"dhanke"}]},{"keyword":["MONOCAB","Beijing Data Challenge","Diagnostics of railway systems"],"type":"conference","department":[{"_id":"151"}],"date_created":"2026-02-27T20:41:54Z","abstract":[{"text":"This study proposes a fault diagnostics methodology that addresses the challenges posed by highly imbalanced datasets typical of railway applications, where faulty conditions constitute the minority class. Fault diagnostics is performed from the component level upward, considering each sensor’s proximity to its respective critical component. Advanced signal analysis, feature engineering, and automated data-driven model generation techniques were explored to achieve comprehensive diagnostics, such that the model development process accounts for variations in the operating conditions and differing levels of information availability. The proposed methodology is evaluated on datasets from the MONOCAB, for scenarios with limited faulty instances and on the Beijing 2024 IEEE PHM Conference data challenge, which focused on fault diagnostics of railway systems under various fault modes and operating conditions.","lang":"eng"}],"publication":"PHM Society Asia-Pacific Conference","doi":"10.36001/phmap.2025.v5i1.4449","article_number":"1","language":[{"iso":"eng"}],"publication_status":"published","date_updated":"2026-02-27T20:46:44Z","intvolume":"         5","year":"2025","title":"Multilevel fault diagnostics for railway applications using limited historical data","author":[{"full_name":"Aimiyekagbon, Osarenren Kennedy","last_name":"Aimiyekagbon","first_name":"Osarenren Kennedy","id":"9557"},{"id":"47233","first_name":"Alexander","last_name":"Löwen","full_name":"Löwen, Alexander"},{"last_name":"Hanselle","first_name":"Raphael","full_name":"Hanselle, Raphael"},{"last_name":"Rief","first_name":"Thomas","full_name":"Rief, Thomas"},{"full_name":"Beck, Maximilian","last_name":"Beck","first_name":"Maximilian"},{"id":"21220","full_name":"Sextro, Walter","first_name":"Walter","last_name":"Sextro"}],"quality_controlled":"1","project":[{"name":"enableATO – Automatisierter Bahnverkehr als Backbone für eine nachhaltige, vernetzte Mobilität im ländlichen Raum","_id":"1355"}],"citation":{"chicago":"Aimiyekagbon, Osarenren Kennedy, Alexander Löwen, Raphael Hanselle, Thomas Rief, Maximilian Beck, and Walter Sextro. “Multilevel Fault Diagnostics for Railway Applications Using Limited Historical Data.” In <i>PHM Society Asia-Pacific Conference</i>, Vol. 5, 2025. <a href=\"https://doi.org/10.36001/phmap.2025.v5i1.4449\">https://doi.org/10.36001/phmap.2025.v5i1.4449</a>.","ama":"Aimiyekagbon OK, Löwen A, Hanselle R, Rief T, Beck M, Sextro W. Multilevel fault diagnostics for railway applications using limited historical data. In: <i>PHM Society Asia-Pacific Conference</i>. Vol 5. ; 2025. doi:<a href=\"https://doi.org/10.36001/phmap.2025.v5i1.4449\">10.36001/phmap.2025.v5i1.4449</a>","short":"O.K. Aimiyekagbon, A. Löwen, R. Hanselle, T. Rief, M. Beck, W. Sextro, in: PHM Society Asia-Pacific Conference, 2025.","bibtex":"@inproceedings{Aimiyekagbon_Löwen_Hanselle_Rief_Beck_Sextro_2025, title={Multilevel fault diagnostics for railway applications using limited historical data}, volume={5}, DOI={<a href=\"https://doi.org/10.36001/phmap.2025.v5i1.4449\">10.36001/phmap.2025.v5i1.4449</a>}, number={1}, booktitle={PHM Society Asia-Pacific Conference}, author={Aimiyekagbon, Osarenren Kennedy and Löwen, Alexander and Hanselle, Raphael and Rief, Thomas and Beck, Maximilian and Sextro, Walter}, year={2025} }","apa":"Aimiyekagbon, O. K., Löwen, A., Hanselle, R., Rief, T., Beck, M., &#38; Sextro, W. (2025). Multilevel fault diagnostics for railway applications using limited historical data. <i>PHM Society Asia-Pacific Conference</i>, <i>5</i>, Article 1. <a href=\"https://doi.org/10.36001/phmap.2025.v5i1.4449\">https://doi.org/10.36001/phmap.2025.v5i1.4449</a>","mla":"Aimiyekagbon, Osarenren Kennedy, et al. “Multilevel Fault Diagnostics for Railway Applications Using Limited Historical Data.” <i>PHM Society Asia-Pacific Conference</i>, vol. 5, 1, 2025, doi:<a href=\"https://doi.org/10.36001/phmap.2025.v5i1.4449\">10.36001/phmap.2025.v5i1.4449</a>.","ieee":"O. K. Aimiyekagbon, A. Löwen, R. Hanselle, T. Rief, M. Beck, and W. Sextro, “Multilevel fault diagnostics for railway applications using limited historical data,” in <i>PHM Society Asia-Pacific Conference</i>, 2025, vol. 5, doi: <a href=\"https://doi.org/10.36001/phmap.2025.v5i1.4449\">10.36001/phmap.2025.v5i1.4449</a>."},"user_id":"9557","volume":5,"_id":"64787","status":"public"},{"citation":{"ieee":"T. Schwabe, C. Kress, S. Kruse, M. Weizel, H. Rhee, and J. C. Scheytt, “Forward-Biased Silicon Phase Shifter Modeling for Electronic-Photonic Co-Simulation and Validation in a 250 nm EPIC BiCMOS Technology,” <i>Journal of Lightwave Technology</i>, vol. 43, no. 1, pp. 255–270, 2025, doi: <a href=\"https://doi.org/10.1109/JLT.2024.3450949\">10.1109/JLT.2024.3450949</a>.","mla":"Schwabe, Tobias, et al. “Forward-Biased Silicon Phase Shifter Modeling for Electronic-Photonic Co-Simulation and Validation in a 250 Nm EPIC BiCMOS Technology.” <i>Journal of Lightwave Technology</i>, vol. 43, no. 1, 2025, pp. 255–70, doi:<a href=\"https://doi.org/10.1109/JLT.2024.3450949\">10.1109/JLT.2024.3450949</a>.","apa":"Schwabe, T., Kress, C., Kruse, S., Weizel, M., Rhee, H., &#38; Scheytt, J. C. (2025). Forward-Biased Silicon Phase Shifter Modeling for Electronic-Photonic Co-Simulation and Validation in a 250 nm EPIC BiCMOS Technology. <i>Journal of Lightwave Technology</i>, <i>43</i>(1), 255–270. <a href=\"https://doi.org/10.1109/JLT.2024.3450949\">https://doi.org/10.1109/JLT.2024.3450949</a>","bibtex":"@article{Schwabe_Kress_Kruse_Weizel_Rhee_Scheytt_2025, title={Forward-Biased Silicon Phase Shifter Modeling for Electronic-Photonic Co-Simulation and Validation in a 250 nm EPIC BiCMOS Technology}, volume={43}, DOI={<a href=\"https://doi.org/10.1109/JLT.2024.3450949\">10.1109/JLT.2024.3450949</a>}, number={1}, journal={Journal of Lightwave Technology}, author={Schwabe, Tobias and Kress, Christian and Kruse, Stephan and Weizel, Maxim and Rhee, Hanjo and Scheytt, J. Christoph}, year={2025}, pages={255–270} }","chicago":"Schwabe, Tobias, Christian Kress, Stephan Kruse, Maxim Weizel, Hanjo Rhee, and J. Christoph Scheytt. “Forward-Biased Silicon Phase Shifter Modeling for Electronic-Photonic Co-Simulation and Validation in a 250 Nm EPIC BiCMOS Technology.” <i>Journal of Lightwave Technology</i> 43, no. 1 (2025): 255–70. <a href=\"https://doi.org/10.1109/JLT.2024.3450949\">https://doi.org/10.1109/JLT.2024.3450949</a>.","ama":"Schwabe T, Kress C, Kruse S, Weizel M, Rhee H, Scheytt JC. Forward-Biased Silicon Phase Shifter Modeling for Electronic-Photonic Co-Simulation and Validation in a 250 nm EPIC BiCMOS Technology. <i>Journal of Lightwave Technology</i>. 2025;43(1):255-270. doi:<a href=\"https://doi.org/10.1109/JLT.2024.3450949\">10.1109/JLT.2024.3450949</a>","short":"T. Schwabe, C. Kress, S. Kruse, M. Weizel, H. Rhee, J.C. 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Christoph","orcid":"0000-0002-5950-6618 ","last_name":"Scheytt","first_name":"J. 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Analysis and Design of Forward Biased Silicon Photonics Phase Shifter Equalizer Circuits. <i>IEEE Access</i>. 2025;13:192433-192450. doi:<a href=\"https://doi.org/10.1109/ACCESS.2025.3629385\">10.1109/ACCESS.2025.3629385</a>","bibtex":"@article{Schwabe_Kress_Sadiye_Kruse_Scheytt_2025, title={Analysis and Design of Forward Biased Silicon Photonics Phase Shifter Equalizer Circuits}, volume={13}, DOI={<a href=\"https://doi.org/10.1109/ACCESS.2025.3629385\">10.1109/ACCESS.2025.3629385</a>}, journal={IEEE Access}, author={Schwabe, Tobias and Kress, Christian and Sadiye, Babak and Kruse, Stephan and Scheytt, J. Christoph}, year={2025}, pages={192433–192450} }","mla":"Schwabe, Tobias, et al. “Analysis and Design of Forward Biased Silicon Photonics Phase Shifter Equalizer Circuits.” <i>IEEE Access</i>, vol. 13, 2025, pp. 192433–50, doi:<a href=\"https://doi.org/10.1109/ACCESS.2025.3629385\">10.1109/ACCESS.2025.3629385</a>.","short":"T. Schwabe, C. Kress, B. Sadiye, S. Kruse, J.C. Scheytt, IEEE Access 13 (2025) 192433–192450.","chicago":"Schwabe, Tobias, Christian Kress, Babak Sadiye, Stephan Kruse, and J. Christoph Scheytt. “Analysis and Design of Forward Biased Silicon Photonics Phase Shifter Equalizer Circuits.” <i>IEEE Access</i> 13 (2025): 192433–50. <a href=\"https://doi.org/10.1109/ACCESS.2025.3629385\">https://doi.org/10.1109/ACCESS.2025.3629385</a>.","apa":"Schwabe, T., Kress, C., Sadiye, B., Kruse, S., &#38; Scheytt, J. C. (2025). Analysis and Design of Forward Biased Silicon Photonics Phase Shifter Equalizer Circuits. <i>IEEE Access</i>, <i>13</i>, 192433–192450. <a href=\"https://doi.org/10.1109/ACCESS.2025.3629385\">https://doi.org/10.1109/ACCESS.2025.3629385</a>","ieee":"T. Schwabe, C. Kress, B. Sadiye, S. Kruse, and J. C. Scheytt, “Analysis and Design of Forward Biased Silicon Photonics Phase Shifter Equalizer Circuits,” <i>IEEE Access</i>, vol. 13, pp. 192433–192450, 2025, doi: <a href=\"https://doi.org/10.1109/ACCESS.2025.3629385\">10.1109/ACCESS.2025.3629385</a>."},"page":"192433-192450","_id":"62644","language":[{"iso":"eng"}],"doi":"10.1109/ACCESS.2025.3629385","user_id":"38254","volume":13,"status":"public","year":"2025","title":"Analysis and Design of Forward Biased Silicon Photonics Phase Shifter Equalizer Circuits","author":[{"full_name":"Schwabe, Tobias","first_name":"Tobias","last_name":"Schwabe","id":"39217"},{"orcid":"0000-0002-4403-2237","last_name":"Kress","first_name":"Christian","full_name":"Kress, Christian","id":"13256"},{"full_name":"Sadiye, Babak","first_name":"Babak","last_name":"Sadiye","id":"93634"},{"id":"38254","full_name":"Kruse, Stephan","first_name":"Stephan","last_name":"Kruse"},{"id":"37144","orcid":"0000-0002-5950-6618 ","first_name":"J. Christoph","last_name":"Scheytt","full_name":"Scheytt, J. Christoph"}],"date_updated":"2025-11-27T07:16:06Z","intvolume":"        13"},{"citation":{"short":"V. Tinnefeld, M. Kesternich, M. Werthschulte, Do Energy-Saving Nudges Deliver During High-Price Periods? Field Experimental Evidence From the European Energy Crisis, ZEW Discussion Paper No. 25-60, 2025.","chicago":"Tinnefeld, Vicky, Martin Kesternich, and Madeline Werthschulte. <i>Do Energy-Saving Nudges Deliver During High-Price Periods? Field Experimental Evidence From the European Energy Crisis</i>. ZEW Discussion Paper No. 25-60, 2025.","apa":"Tinnefeld, V., Kesternich, M., &#38; Werthschulte, M. (2025). <i>Do Energy-Saving Nudges Deliver During High-Price Periods? Field Experimental Evidence From the European Energy Crisis</i>. ZEW Discussion Paper No. 25-60.","ieee":"V. Tinnefeld, M. Kesternich, and M. Werthschulte, <i>Do Energy-Saving Nudges Deliver During High-Price Periods? Field Experimental Evidence From the European Energy Crisis</i>. ZEW Discussion Paper No. 25-60, 2025.","ama":"Tinnefeld V, Kesternich M, Werthschulte M. <i>Do Energy-Saving Nudges Deliver During High-Price Periods? Field Experimental Evidence From the European Energy Crisis</i>. ZEW Discussion Paper No. 25-60; 2025.","bibtex":"@book{Tinnefeld_Kesternich_Werthschulte_2025, title={Do Energy-Saving Nudges Deliver During High-Price Periods? Field Experimental Evidence From the European Energy Crisis}, publisher={ZEW Discussion Paper No. 25-60}, author={Tinnefeld, Vicky and Kesternich, Martin and Werthschulte, Madeline}, year={2025} }","mla":"Tinnefeld, Vicky, et al. <i>Do Energy-Saving Nudges Deliver During High-Price Periods? Field Experimental Evidence From the European Energy Crisis</i>. ZEW Discussion Paper No. 25-60, 2025."},"file_date_updated":"2025-11-28T12:04:11Z","abstract":[{"lang":"eng","text":"Urged by the European Energy Crisis and the threatening consequences of severe\r\nnatural gas shortages, energy providers launched gas-saving initiatives incor-\r\nporating financial incentives to reduce residential natural gas consumption. In\r\ncollaboration with one of Germany’s largest energy providers, we conducted\r\na natural field experiment (N = 2,598) to evaluate the effectiveness of a\r\nbehaviorally-guided co-design of such a gas-saving initiative by implementing\r\ntwo established behavioral instruments – reminders of gas saving intentions and\r\ndescriptive norm feedback. Our findings show limited effectiveness of the behav-\r\nioral instruments during the high-price period. The feedback risks a “boomerang\r\neffect” among households with above-average initial savings, who reduce their\r\nconservation efforts in response. The reminder does not significantly enhance sav-\r\nings in our main specifications, yet, realizes 1 percentage point savings in alternate\r\nmodels refining for outliers. Potential mechanisms include a significant intention-\r\naction gap and misperceived effectiveness of energy-saving actions, which are not\r\nalleviated by the reminder."}],"date_created":"2025-11-28T12:07:25Z","file":[{"date_created":"2025-11-28T12:04:11Z","creator":"mkestern","content_type":"application/pdf","success":1,"file_id":"62698","date_updated":"2025-11-28T12:04:11Z","relation":"main_file","access_level":"closed","file_size":2165853,"file_name":"dp25060.pdf"}],"type":"working_paper","keyword":["Residential energy savings","energy crisis","behavioral interventions","survey data","field experiment"],"jel":["C93","D04","D91","Q41"],"author":[{"full_name":"Tinnefeld, Vicky","first_name":"Vicky","last_name":"Tinnefeld"},{"first_name":"Martin","last_name":"Kesternich","orcid":"0000-0002-0653-7680","full_name":"Kesternich, Martin","id":"98922"},{"first_name":"Madeline","last_name":"Werthschulte","full_name":"Werthschulte, Madeline"}],"title":"Do Energy-Saving Nudges Deliver During High-Price Periods? Field Experimental Evidence From the European Energy Crisis","status":"public","year":"2025","has_accepted_license":"1","date_updated":"2025-12-01T10:21:20Z","publisher":"ZEW Discussion Paper No. 25-60","_id":"62697","language":[{"iso":"eng"}],"ddc":["330"],"user_id":"98922"},{"publisher":"Nomos","_id":"61237","page":"487-496","editor":[{"full_name":"Pasternack, Peer","last_name":"Pasternack","first_name":"Peer"},{"full_name":"Reinmann, Gabi","last_name":"Reinmann","first_name":"Gabi"},{"full_name":"Schneijderberg, Christian ","last_name":"Schneijderberg","first_name":"Christian "}],"user_id":"90339","ddc":["300"],"status":"public","has_accepted_license":"1","place":"Baden-Baden","oa":"1","citation":{"apa":"Steinhardt, I., &#38; Röwert, R. (2025). Open Science. In P. Pasternack, G. Reinmann, &#38; C. Schneijderberg (Eds.), <i>Hochschulforschung</i> (pp. 487–496). Nomos. <a href=\"https://doi.org/10.5771/9783748943334-487\">https://doi.org/10.5771/9783748943334-487</a>","mla":"Steinhardt, Isabel, and Ronny Röwert. “Open Science.” <i>Hochschulforschung</i>, edited by Peer Pasternack et al., Nomos, 2025, pp. 487–96, doi:<a href=\"https://doi.org/10.5771/9783748943334-487\">10.5771/9783748943334-487</a>.","ieee":"I. Steinhardt and R. Röwert, “Open Science,” in <i>Hochschulforschung</i>, P. Pasternack, G. Reinmann, and C. Schneijderberg, Eds. Baden-Baden: Nomos, 2025, pp. 487–496.","chicago":"Steinhardt, Isabel, and Ronny Röwert. “Open Science.” In <i>Hochschulforschung</i>, edited by Peer Pasternack, Gabi Reinmann, and Christian  Schneijderberg, 487–96. Baden-Baden: Nomos, 2025. <a href=\"https://doi.org/10.5771/9783748943334-487\">https://doi.org/10.5771/9783748943334-487</a>.","short":"I. Steinhardt, R. Röwert, in: P. Pasternack, G. Reinmann, C. Schneijderberg (Eds.), Hochschulforschung, Nomos, Baden-Baden, 2025, pp. 487–496.","ama":"Steinhardt I, Röwert R. Open Science. In: Pasternack P, Reinmann G, Schneijderberg C, eds. <i>Hochschulforschung</i>. Nomos; 2025:487-496. doi:<a href=\"https://doi.org/10.5771/9783748943334-487\">10.5771/9783748943334-487</a>","bibtex":"@inbook{Steinhardt_Röwert_2025, place={Baden-Baden}, title={Open Science}, DOI={<a href=\"https://doi.org/10.5771/9783748943334-487\">10.5771/9783748943334-487</a>}, booktitle={Hochschulforschung}, publisher={Nomos}, author={Steinhardt, Isabel and Röwert, Ronny}, editor={Pasternack, Peer and Reinmann, Gabi and Schneijderberg, Christian }, year={2025}, pages={487–496} }"},"file_date_updated":"2025-09-12T06:37:04Z","quality_controlled":"1","language":[{"iso":"ger"}],"main_file_link":[{"url":"https://www.nomos-elibrary.de/de/document/view/detail/uuid/cc4f88b8-f9a8-32ef-a706-a9134f224090","open_access":"1"}],"doi":"10.5771/9783748943334-487","author":[{"id":"90339","full_name":"Steinhardt, Isabel","first_name":"Isabel","last_name":"Steinhardt","orcid":"https://orcid.org/0000-0002-2590-6189"},{"last_name":"Röwert","first_name":"Ronny","full_name":"Röwert, Ronny"}],"publication_identifier":{"isbn":["9783748943334"]},"year":"2025","title":"Open Science","publication_status":"published","date_updated":"2025-12-17T09:05:53Z","date_created":"2025-09-12T06:35:25Z","file":[{"creator":"isste","date_created":"2025-09-12T06:37:04Z","file_size":268261,"access_level":"closed","file_name":"2025 Steinhardt & Röwert Open Science.pdf","date_updated":"2025-09-12T06:37:04Z","relation":"main_file","content_type":"application/pdf","success":1,"file_id":"61238"}],"department":[{"_id":"121"}],"keyword":["Open Data","Open Access","Open Source","Open Methodology","Open Peer Review"],"type":"book_chapter","publication":"Hochschulforschung","abstract":[{"lang":"ger","text":"In diesem Beitrag wird zunächst die historische Entstehung von Open Science kurz skizziert und definiert, was unter diesem Begriff zu verstehen ist. Daran anschließend werden die Open-Science-Praktiken Open Data, Open Access, Open Source, Open Methodology und Open Peer Review dargestellt und diskutiert, welche Forschungserkenntnisse zu Open Science vorhanden sind. Im Schluss werden Forschungsdesiderate aufgegriffen und die Implikationen von Open Science für die Wissenschaft erläutert."}]},{"title":"HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores","status":"public","year":"2025","author":[{"full_name":"Kirchgässner, Wilhelm","last_name":"Kirchgässner","first_name":"Wilhelm"},{"last_name":"Förster","first_name":"Nikolas","full_name":"Förster, Nikolas"},{"last_name":"Piepenbrock","first_name":"Till","full_name":"Piepenbrock, Till"},{"full_name":"Schweins, Oliver","last_name":"Schweins","first_name":"Oliver"},{"first_name":"Oliver","last_name":"Wallscheid","full_name":"Wallscheid, Oliver"}],"date_updated":"2026-01-06T08:08:01Z","intvolume":"        40","page":"3326-3335","_id":"63498","doi":"10.1109/TPEL.2024.3488174","user_id":"83383","volume":40,"publication":"IEEE Transactions on Power Electronics","issue":"2","citation":{"mla":"Kirchgässner, Wilhelm, et al. “HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores.” <i>IEEE Transactions on Power Electronics</i>, vol. 40, no. 2, 2025, pp. 3326–35, doi:<a href=\"https://doi.org/10.1109/TPEL.2024.3488174\">10.1109/TPEL.2024.3488174</a>.","bibtex":"@article{Kirchgässner_Förster_Piepenbrock_Schweins_Wallscheid_2025, title={HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores}, volume={40}, DOI={<a href=\"https://doi.org/10.1109/TPEL.2024.3488174\">10.1109/TPEL.2024.3488174</a>}, number={2}, journal={IEEE Transactions on Power Electronics}, author={Kirchgässner, Wilhelm and Förster, Nikolas and Piepenbrock, Till and Schweins, Oliver and Wallscheid, Oliver}, year={2025}, pages={3326–3335} }","ama":"Kirchgässner W, Förster N, Piepenbrock T, Schweins O, Wallscheid O. HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores. <i>IEEE Transactions on Power Electronics</i>. 2025;40(2):3326-3335. doi:<a href=\"https://doi.org/10.1109/TPEL.2024.3488174\">10.1109/TPEL.2024.3488174</a>","ieee":"W. Kirchgässner, N. Förster, T. Piepenbrock, O. Schweins, and O. Wallscheid, “HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores,” <i>IEEE Transactions on Power Electronics</i>, vol. 40, no. 2, pp. 3326–3335, 2025, doi: <a href=\"https://doi.org/10.1109/TPEL.2024.3488174\">10.1109/TPEL.2024.3488174</a>.","apa":"Kirchgässner, W., Förster, N., Piepenbrock, T., Schweins, O., &#38; Wallscheid, O. (2025). HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores. <i>IEEE Transactions on Power Electronics</i>, <i>40</i>(2), 3326–3335. <a href=\"https://doi.org/10.1109/TPEL.2024.3488174\">https://doi.org/10.1109/TPEL.2024.3488174</a>","short":"W. Kirchgässner, N. Förster, T. Piepenbrock, O. Schweins, O. Wallscheid, IEEE Transactions on Power Electronics 40 (2025) 3326–3335.","chicago":"Kirchgässner, Wilhelm, Nikolas Förster, Till Piepenbrock, Oliver Schweins, and Oliver Wallscheid. “HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores.” <i>IEEE Transactions on Power Electronics</i> 40, no. 2 (2025): 3326–35. <a href=\"https://doi.org/10.1109/TPEL.2024.3488174\">https://doi.org/10.1109/TPEL.2024.3488174</a>."},"date_created":"2026-01-06T08:07:13Z","keyword":["Mathematical models","Estimation","Data models","Convolutional neural networks","Accuracy","Magnetic hysteresis","Magnetic cores","Temperature measurement","Magnetic domains","Temperature distribution","Convolutional neural network (CNN)","machine learning (ML)","magnetics"],"type":"journal_article","department":[{"_id":"52"}]},{"title":"Hybrid Decision Support in Product Creation - Improving performance with data science and artificial intelligence","year":"2025","author":[{"orcid":"0000-0001-5765-971X","first_name":"Iris","last_name":"Gräßler","full_name":"Gräßler, Iris","id":"47565"},{"last_name":"Pottebaum","first_name":"Jens","orcid":"http://orcid.org/0000-0001-8778-2989","full_name":"Pottebaum, Jens","id":"405"},{"full_name":"Nyhuis, Peter","last_name":"Nyhuis","first_name":"Peter"},{"full_name":"Stark, Rainer","first_name":"Rainer","last_name":"Stark"},{"first_name":"Klaus-Dieter","last_name":"Thoben","full_name":"Thoben, Klaus-Dieter"},{"last_name":"Wiederkehr","first_name":"Petra","full_name":"Wiederkehr, Petra"}],"publication_identifier":{"issn":["2942-6170"]},"publication_status":"published","date_updated":"2025-02-15T09:40:52Z","article_type":"original","intvolume":"      2025","main_file_link":[{"open_access":"1"}],"language":[{"iso":"eng"}],"doi":"10.30844/i4sd.25.1.18","alternative_title":["Hybride Entscheidungsunterstützung in der Produktentstehung - Mit Data Science und Künstlicher Intelligenz die Leistungsfähigkeit erhöhen"],"issue":"1","publication":"Industry 4.0 Science","abstract":[{"lang":"eng","text":"Technical systems are characterized by increasing interdisciplinarity, complexity and networking. A product and its corresponding production systems require interdisciplinary multi-objective optimization. Sustainability and recyclability demands increase said complexity. The efficiency of previously established engineering methods is reaching its limits, which can only be overcome by systematic integration of extreme data. The aim of \"hybrid decision support\" is as follows: Data science and artificial intelligence should be used to supplement human capabilities in conjunction with existing heuristics, methods, modeling and simulation to increase the efficiency of product creation."}],"date_created":"2025-02-15T09:31:30Z","keyword":["AI","artificial intelligence","Data Science","decision support","extreme data","Künstliche Intelligenz","product creation","product development"],"type":"journal_article","department":[{"_id":"152"}],"status":"public","_id":"58650","publisher":"GITO mbH Verlag","user_id":"405","volume":2025,"citation":{"mla":"Gräßler, Iris, et al. “Hybrid Decision Support in Product Creation - Improving Performance with Data Science and Artificial Intelligence.” <i>Industry 4.0 Science</i>, vol. 2025, no. 1, GITO mbH Verlag, 2025, doi:<a href=\"https://doi.org/10.30844/i4sd.25.1.18\">10.30844/i4sd.25.1.18</a>.","ama":"Gräßler I, Pottebaum J, Nyhuis P, Stark R, Thoben K-D, Wiederkehr P. Hybrid Decision Support in Product Creation - Improving performance with data science and artificial intelligence. <i>Industry 40 Science</i>. 2025;2025(1). doi:<a href=\"https://doi.org/10.30844/i4sd.25.1.18\">10.30844/i4sd.25.1.18</a>","bibtex":"@article{Gräßler_Pottebaum_Nyhuis_Stark_Thoben_Wiederkehr_2025, title={Hybrid Decision Support in Product Creation - Improving performance with data science and artificial intelligence}, volume={2025}, DOI={<a href=\"https://doi.org/10.30844/i4sd.25.1.18\">10.30844/i4sd.25.1.18</a>}, number={1}, journal={Industry 4.0 Science}, publisher={GITO mbH Verlag}, author={Gräßler, Iris and Pottebaum, Jens and Nyhuis, Peter and Stark, Rainer and Thoben, Klaus-Dieter and Wiederkehr, Petra}, year={2025} }","apa":"Gräßler, I., Pottebaum, J., Nyhuis, P., Stark, R., Thoben, K.-D., &#38; Wiederkehr, P. (2025). Hybrid Decision Support in Product Creation - Improving performance with data science and artificial intelligence. <i>Industry 4.0 Science</i>, <i>2025</i>(1). <a href=\"https://doi.org/10.30844/i4sd.25.1.18\">https://doi.org/10.30844/i4sd.25.1.18</a>","ieee":"I. Gräßler, J. Pottebaum, P. Nyhuis, R. Stark, K.-D. Thoben, and P. Wiederkehr, “Hybrid Decision Support in Product Creation - Improving performance with data science and artificial intelligence,” <i>Industry 4.0 Science</i>, vol. 2025, no. 1, 2025, doi: <a href=\"https://doi.org/10.30844/i4sd.25.1.18\">10.30844/i4sd.25.1.18</a>.","short":"I. Gräßler, J. Pottebaum, P. Nyhuis, R. Stark, K.-D. Thoben, P. Wiederkehr, Industry 4.0 Science 2025 (2025).","chicago":"Gräßler, Iris, Jens Pottebaum, Peter Nyhuis, Rainer Stark, Klaus-Dieter Thoben, and Petra Wiederkehr. “Hybrid Decision Support in Product Creation - Improving Performance with Data Science and Artificial Intelligence.” <i>Industry 4.0 Science</i> 2025, no. 1 (2025). <a href=\"https://doi.org/10.30844/i4sd.25.1.18\">https://doi.org/10.30844/i4sd.25.1.18</a>."},"quality_controlled":"1","oa":"1"},{"publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031945748","9783031945755"]},"author":[{"full_name":"Löhnert, Bianca","last_name":"Löhnert","first_name":"Bianca"},{"full_name":"Augsten, Nikolaus","last_name":"Augsten","first_name":"Nikolaus"},{"id":"114410","orcid":"0000-0002-7742-0439","last_name":"Okulmus","first_name":"Cem","full_name":"Okulmus, Cem"},{"last_name":"Ortiz","first_name":"Magdalena","full_name":"Ortiz, Magdalena"}],"title":"Towards Practicable Algorithms for Rewriting Graph Queries Beyond DL-Lite","year":"2025","intvolume":"     15718","publication_status":"published","date_updated":"2025-07-02T11:55:19Z","series_title":"Lecture Notes in Computer Science","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://arxiv.org/abs/2405.18181","open_access":"1"}],"doi":"10.1007/978-3-031-94575-5_19","publication":"The Semantic Web - 22nd European Semantic Web Conference, {ESWC} 2025, Portoroz, Slovenia, June 1-5, 2025, Proceedings, Part {I}","abstract":[{"lang":"eng","text":"Despite the advantages that the virtual knowledge graph paradigm has brought to many application domains, state-of-the-art systems still do not support popular graph database management systems like Neo4j. Their query rewriting algorithms focus on languages like conjunctive queries and their unions, which were developed for relational data and are poorly suited for graph data. Moreover, they also limit the expressiveness of the ontology languages that admit rewritings, restricting them to those that enjoy the so-called FO-rewritability property. Rewritings have thus focused on the DL-Lite family of Description Logics. In this paper, we propose a technique for rewriting a family of navigational queries for a suitably tailored fragment of ELHI. Leveraging navigational features in the target query language, we can include some widely-used axiom shapes not supported by DL-Lite. We implemented a proof-of-concept prototype that rewrites into Cypher queries, and tested it on a real-world cognitive neuroscience use case with promising results."}],"date_created":"2025-07-02T11:46:06Z","department":[{"_id":"888"}],"type":"conference","keyword":["Ontology-based Data Access","Property Graphs","Navigational Queries"],"conference":{"end_date":"2025-06-05","start_date":"2025-06-01","name":"22th European Semantic Web Conference (ESWC 2025)","location":"Portorož, Slovenia"},"status":"public","publisher":"Springer Nature Switzerland","_id":"60497","page":"342--361","volume":15718,"user_id":"114410","citation":{"mla":"Löhnert, Bianca, et al. “Towards Practicable Algorithms for Rewriting Graph Queries Beyond DL-Lite.” <i>The Semantic Web - 22nd European Semantic Web Conference, {ESWC} 2025, Portoroz, Slovenia, June 1-5, 2025, Proceedings, Part {I}</i>, vol. 15718, Springer Nature Switzerland, 2025, pp. 342--361, doi:<a href=\"https://doi.org/10.1007/978-3-031-94575-5_19\">10.1007/978-3-031-94575-5_19</a>.","ama":"Löhnert B, Augsten N, Okulmus C, Ortiz M. Towards Practicable Algorithms for Rewriting Graph Queries Beyond DL-Lite. In: <i>The Semantic Web - 22nd European Semantic Web Conference, {ESWC} 2025, Portoroz, Slovenia, June 1-5, 2025, Proceedings, Part {I}</i>. Vol 15718. Lecture Notes in Computer Science. Springer Nature Switzerland; 2025:342--361. doi:<a href=\"https://doi.org/10.1007/978-3-031-94575-5_19\">10.1007/978-3-031-94575-5_19</a>","bibtex":"@inproceedings{Löhnert_Augsten_Okulmus_Ortiz_2025, series={Lecture Notes in Computer Science}, title={Towards Practicable Algorithms for Rewriting Graph Queries Beyond DL-Lite}, volume={15718}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-94575-5_19\">10.1007/978-3-031-94575-5_19</a>}, booktitle={The Semantic Web - 22nd European Semantic Web Conference, {ESWC} 2025, Portoroz, Slovenia, June 1-5, 2025, Proceedings, Part {I}}, publisher={Springer Nature Switzerland}, author={Löhnert, Bianca and Augsten, Nikolaus and Okulmus, Cem and Ortiz, Magdalena}, year={2025}, pages={342--361}, collection={Lecture Notes in Computer Science} }","apa":"Löhnert, B., Augsten, N., Okulmus, C., &#38; Ortiz, M. (2025). Towards Practicable Algorithms for Rewriting Graph Queries Beyond DL-Lite. <i>The Semantic Web - 22nd European Semantic Web Conference, {ESWC} 2025, Portoroz, Slovenia, June 1-5, 2025, Proceedings, Part {I}</i>, <i>15718</i>, 342--361. <a href=\"https://doi.org/10.1007/978-3-031-94575-5_19\">https://doi.org/10.1007/978-3-031-94575-5_19</a>","ieee":"B. Löhnert, N. Augsten, C. Okulmus, and M. Ortiz, “Towards Practicable Algorithms for Rewriting Graph Queries Beyond DL-Lite,” in <i>The Semantic Web - 22nd European Semantic Web Conference, {ESWC} 2025, Portoroz, Slovenia, June 1-5, 2025, Proceedings, Part {I}</i>, Portorož, Slovenia, 2025, vol. 15718, pp. 342--361, doi: <a href=\"https://doi.org/10.1007/978-3-031-94575-5_19\">10.1007/978-3-031-94575-5_19</a>.","short":"B. Löhnert, N. Augsten, C. Okulmus, M. Ortiz, in: The Semantic Web - 22nd European Semantic Web Conference, {ESWC} 2025, Portoroz, Slovenia, June 1-5, 2025, Proceedings, Part {I}, Springer Nature Switzerland, 2025, pp. 342--361.","chicago":"Löhnert, Bianca, Nikolaus Augsten, Cem Okulmus, and Magdalena Ortiz. “Towards Practicable Algorithms for Rewriting Graph Queries Beyond DL-Lite.” In <i>The Semantic Web - 22nd European Semantic Web Conference, {ESWC} 2025, Portoroz, Slovenia, June 1-5, 2025, Proceedings, Part {I}</i>, 15718:342--361. Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. <a href=\"https://doi.org/10.1007/978-3-031-94575-5_19\">https://doi.org/10.1007/978-3-031-94575-5_19</a>."},"quality_controlled":"1","oa":"1"},{"type":"journal_article","keyword":["POCS","Projection onto convex sets","Data inversion","2D distribution","CDMA","Centrifugal Differential Mobility Analyzer"],"date_created":"2025-08-25T16:10:18Z","publication":"Journal of Aerosol Science","doi":"10.1016/j.jaerosci.2025.106606","language":[{"iso":"eng"}],"article_number":"106606","intvolume":"       188","article_type":"original","date_updated":"2025-08-25T16:17:49Z","publication_status":"published","author":[{"full_name":"Rüther, Torben N.","last_name":"Rüther","first_name":"Torben N."},{"last_name":"Rasche","first_name":"David B.","full_name":"Rasche, David B."},{"full_name":"Schmid, Hans-Joachim","last_name":"Schmid","first_name":"Hans-Joachim","orcid":"000-0001-8590-1921","id":"464"}],"publication_identifier":{"issn":["0021-8502"]},"year":"2025","title":"The POCS-Algorithm—An effective tool for calculating 2D particle property distributions via data inversion of exemplary CDMA measurement data","quality_controlled":"1","citation":{"mla":"Rüther, Torben N., et al. “The POCS-Algorithm—An Effective Tool for Calculating 2D Particle Property Distributions via Data Inversion of Exemplary CDMA Measurement Data.” <i>Journal of Aerosol Science</i>, vol. 188, 106606, Elsevier BV, 2025, doi:<a href=\"https://doi.org/10.1016/j.jaerosci.2025.106606\">10.1016/j.jaerosci.2025.106606</a>.","ama":"Rüther TN, Rasche DB, Schmid H-J. The POCS-Algorithm—An effective tool for calculating 2D particle property distributions via data inversion of exemplary CDMA measurement data. <i>Journal of Aerosol Science</i>. 2025;188. doi:<a href=\"https://doi.org/10.1016/j.jaerosci.2025.106606\">10.1016/j.jaerosci.2025.106606</a>","bibtex":"@article{Rüther_Rasche_Schmid_2025, title={The POCS-Algorithm—An effective tool for calculating 2D particle property distributions via data inversion of exemplary CDMA measurement data}, volume={188}, DOI={<a href=\"https://doi.org/10.1016/j.jaerosci.2025.106606\">10.1016/j.jaerosci.2025.106606</a>}, number={106606}, journal={Journal of Aerosol Science}, publisher={Elsevier BV}, author={Rüther, Torben N. and Rasche, David B. and Schmid, Hans-Joachim}, year={2025} }","apa":"Rüther, T. N., Rasche, D. B., &#38; Schmid, H.-J. (2025). The POCS-Algorithm—An effective tool for calculating 2D particle property distributions via data inversion of exemplary CDMA measurement data. <i>Journal of Aerosol Science</i>, <i>188</i>, Article 106606. <a href=\"https://doi.org/10.1016/j.jaerosci.2025.106606\">https://doi.org/10.1016/j.jaerosci.2025.106606</a>","ieee":"T. N. Rüther, D. B. Rasche, and H.-J. Schmid, “The POCS-Algorithm—An effective tool for calculating 2D particle property distributions via data inversion of exemplary CDMA measurement data,” <i>Journal of Aerosol Science</i>, vol. 188, Art. no. 106606, 2025, doi: <a href=\"https://doi.org/10.1016/j.jaerosci.2025.106606\">10.1016/j.jaerosci.2025.106606</a>.","chicago":"Rüther, Torben N., David B. Rasche, and Hans-Joachim Schmid. “The POCS-Algorithm—An Effective Tool for Calculating 2D Particle Property Distributions via Data Inversion of Exemplary CDMA Measurement Data.” <i>Journal of Aerosol Science</i> 188 (2025). <a href=\"https://doi.org/10.1016/j.jaerosci.2025.106606\">https://doi.org/10.1016/j.jaerosci.2025.106606</a>.","short":"T.N. Rüther, D.B. Rasche, H.-J. Schmid, Journal of Aerosol Science 188 (2025)."},"volume":188,"user_id":"464","_id":"61013","publisher":"Elsevier BV","funded_apc":"1","status":"public"},{"title":"Experimental Dataset: Force and Displacement Measurements of Four Rubber-Metal Bushing Types from a Passenger Car under Harmonic Displacement Excitation","year":"2025","status":"public","author":[{"id":"22109","last_name":"Schütte","first_name":"Jan","orcid":"0000-0001-9025-9742","full_name":"Schütte, Jan"}],"date_updated":"2026-03-11T10:25:23Z","publisher":"LibreCat University","_id":"64894","doi":"10.5281/ZENODO.14851317","user_id":"22109","citation":{"short":"J. Schütte, Experimental Dataset: Force and Displacement Measurements of Four Rubber-Metal Bushing Types from a Passenger Car under Harmonic Displacement Excitation, LibreCat University, 2025.","chicago":"Schütte, Jan. <i>Experimental Dataset: Force and Displacement Measurements of Four Rubber-Metal Bushing Types from a Passenger Car under Harmonic Displacement Excitation</i>. LibreCat University, 2025. <a href=\"https://doi.org/10.5281/ZENODO.14851317\">https://doi.org/10.5281/ZENODO.14851317</a>.","apa":"Schütte, J. (2025). <i>Experimental Dataset: Force and Displacement Measurements of Four Rubber-Metal Bushing Types from a Passenger Car under Harmonic Displacement Excitation</i>. LibreCat University. <a href=\"https://doi.org/10.5281/ZENODO.14851317\">https://doi.org/10.5281/ZENODO.14851317</a>","ieee":"J. Schütte, <i>Experimental Dataset: Force and Displacement Measurements of Four Rubber-Metal Bushing Types from a Passenger Car under Harmonic Displacement Excitation</i>. LibreCat University, 2025.","ama":"Schütte J. <i>Experimental Dataset: Force and Displacement Measurements of Four Rubber-Metal Bushing Types from a Passenger Car under Harmonic Displacement Excitation</i>. LibreCat University; 2025. doi:<a href=\"https://doi.org/10.5281/ZENODO.14851317\">10.5281/ZENODO.14851317</a>","bibtex":"@book{Schütte_2025, title={Experimental Dataset: Force and Displacement Measurements of Four Rubber-Metal Bushing Types from a Passenger Car under Harmonic Displacement Excitation}, DOI={<a href=\"https://doi.org/10.5281/ZENODO.14851317\">10.5281/ZENODO.14851317</a>}, publisher={LibreCat University}, author={Schütte, Jan}, year={2025} }","mla":"Schütte, Jan. <i>Experimental Dataset: Force and Displacement Measurements of Four Rubber-Metal Bushing Types from a Passenger Car under Harmonic Displacement Excitation</i>. LibreCat University, 2025, doi:<a href=\"https://doi.org/10.5281/ZENODO.14851317\">10.5281/ZENODO.14851317</a>."},"abstract":[{"lang":"eng","text":"This dataset contains experimental measurements of the radial dynamic and quasi-static characteristics of four different types of Rubber-Metal Bushings (RMBs) used in the suspension system of a passenger car under harmonic displacement excitation. For each bushing type, 2–3 individual specimens were tested.\r\n \r\nQuasi-static measurements were performed at a constant excitation frequency of 0.05 Hz with varying displacement amplitudes. Dynamic measurements were conducted with displacement amplitudes ranging from 0.04 mm to 0.3 mm and excitation frequencies of 2, 5, 10, ..., up to 100 Hz.\r\n\r\nThe data is structured by bushing type, measurement mode, amplitude, and frequency, and is provided in *.csv  and *.hrm format. It is intended to support further research in modeling rubber-metal bushings and parameter identification techniques."}],"date_created":"2026-03-11T10:22:01Z","keyword":["bushing","experimental data","rubber-metal-bushing","Dataset suspension"],"type":"research_data","department":[{"_id":"151"}]},{"publication_status":"unpublished","date_updated":"2024-04-30T08:45:24Z","author":[{"full_name":"Harder, Hans","first_name":"Hans","last_name":"Harder","id":"98879"},{"orcid":"0000-0002-3389-793X","last_name":"Peitz","first_name":"Sebastian","full_name":"Peitz, Sebastian","id":"47427"}],"year":"2024","status":"public","title":"Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines","user_id":"98879","_id":"53793","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://arxiv.org/abs/2404.18530","open_access":"1"}],"abstract":[{"text":"We utilize extreme learning machines for the prediction of partial differential equations (PDEs). Our method splits the state space into multiple windows that are predicted individually using a single model. Despite requiring only few data points (in some cases, our method can learn from a single full-state snapshot), it still achieves high accuracy and can predict the flow of PDEs over long time horizons. Moreover, we show how additional symmetries can be exploited to increase sample efficiency and to enforce equivariance.","lang":"eng"}],"citation":{"ama":"Harder H, Peitz S. Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines.","bibtex":"@article{Harder_Peitz, title={Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines}, author={Harder, Hans and Peitz, Sebastian} }","mla":"Harder, Hans, and Sebastian Peitz. <i>Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines</i>.","chicago":"Harder, Hans, and Sebastian Peitz. “Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines,” n.d.","short":"H. Harder, S. Peitz, (n.d.).","apa":"Harder, H., &#38; Peitz, S. (n.d.). <i>Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines</i>.","ieee":"H. Harder and S. Peitz, “Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines.” ."},"oa":"1","keyword":["extreme learning machines","partial differential equations","data-driven prediction","high-dimensional systems"],"type":"preprint","date_created":"2024-04-30T08:43:14Z"},{"abstract":[{"lang":"eng","text":"Predicting the remaining useful life of technical \r\nsystems has gained significant attention in recent years due to \r\nincreasing demands for extending the lifespan of degrading system \r\ncomponents. Therefore, already used systems are retrofitted by \r\nintegrating sensors to monitor their performance and \r\nfunctionality, enabling accurate diagnosis of their condition and \r\nprediction of their remaining useful life. One of the main \r\nchallenges in this field is identified in the missing data from the \r\ntime where the retrofitted system has already run but without \r\nbeing monitored by sensors. In this paper, a novel approach for \r\nthe combined diagnostics and prognostics of retrofitted systems is \r\nproposed. The methodology aims to provide an accurate diagnosis \r\nof the system’s health state and estimation of the remaining useful \r\nlife by a combination of a machine learning and expert knowledge. \r\nTo evaluate the effectiveness of the proposed methodology, a case \r\nstudy involving a retrofitted system in an industrial setting is \r\nselected and applied. It is demonstrated that the approach \r\neffectively diagnose the current system’s health state and \r\naccurately predict its remaining useful life, thereby enabling \r\npredictive maintenance and decision-making. Overall, our \r\nresearch contributes to advancing the field of condition \r\nmonitoring for retrofitted systems by providing a comprehensive \r\nmethodology that addresses the challenge of missing data."}],"quality_controlled":"1","publication":"Proceedings of the 2024 Prognostics and System Health Management Conference (PHM)","citation":{"ieee":"A. Bender, O. K. Aimiyekagbon, and W. Sextro, “Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment,” presented at the 2024 Prognostics and System Health Management Conference (PHM), Stockholm, Schweden, 2024, doi: <a href=\"https://doi.org/10.1109/PHM61473.2024.00038\">10.1109/PHM61473.2024.00038</a>.","apa":"Bender, A., Aimiyekagbon, O. K., &#38; Sextro, W. (2024). Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment. <i>Proceedings of the 2024 Prognostics and System Health Management Conference (PHM)</i>. 2024 Prognostics and System Health Management Conference (PHM), Stockholm, Schweden. <a href=\"https://doi.org/10.1109/PHM61473.2024.00038\">https://doi.org/10.1109/PHM61473.2024.00038</a>","chicago":"Bender, Amelie, Osarenren Kennedy Aimiyekagbon, and Walter Sextro. “Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment.” In <i>Proceedings of the 2024 Prognostics and System Health Management Conference (PHM)</i>. IEEE Computer Society, 2024. <a href=\"https://doi.org/10.1109/PHM61473.2024.00038\">https://doi.org/10.1109/PHM61473.2024.00038</a>.","short":"A. Bender, O.K. Aimiyekagbon, W. Sextro, in: Proceedings of the 2024 Prognostics and System Health Management Conference (PHM), IEEE Computer Society, 2024.","mla":"Bender, Amelie, et al. “Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment.” <i>Proceedings of the 2024 Prognostics and System Health Management Conference (PHM)</i>, IEEE Computer Society, 2024, doi:<a href=\"https://doi.org/10.1109/PHM61473.2024.00038\">10.1109/PHM61473.2024.00038</a>.","bibtex":"@inproceedings{Bender_Aimiyekagbon_Sextro_2024, title={Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment}, DOI={<a href=\"https://doi.org/10.1109/PHM61473.2024.00038\">10.1109/PHM61473.2024.00038</a>}, booktitle={Proceedings of the 2024 Prognostics and System Health Management Conference (PHM)}, publisher={IEEE Computer Society}, author={Bender, Amelie and Aimiyekagbon, Osarenren Kennedy and Sextro, Walter}, year={2024} }","ama":"Bender A, Aimiyekagbon OK, Sextro W. Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment. In: <i>Proceedings of the 2024 Prognostics and System Health Management Conference (PHM)</i>. IEEE Computer Society; 2024. doi:<a href=\"https://doi.org/10.1109/PHM61473.2024.00038\">10.1109/PHM61473.2024.00038</a>"},"type":"conference","keyword":["retrofit","diagnosis","prognostics","RUL prediction","missing data","ball bearings"],"department":[{"_id":"151"}],"date_created":"2024-07-22T09:27:57Z","date_updated":"2024-07-22T09:29:26Z","year":"2024","title":"Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment","status":"public","conference":{"end_date":"2024-05-31","start_date":"2024-05-28","name":"2024 Prognostics and System Health Management Conference (PHM)","location":"Stockholm, Schweden"},"publication_identifier":{"isbn":["979-8-3503-6058-5"]},"author":[{"id":"54290","first_name":"Amelie","last_name":"Bender","full_name":"Bender, Amelie"},{"id":"9557","full_name":"Aimiyekagbon, Osarenren Kennedy","last_name":"Aimiyekagbon","first_name":"Osarenren Kennedy"},{"id":"21220","full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter"}],"doi":"10.1109/PHM61473.2024.00038","user_id":"54290","_id":"55336","publisher":"IEEE Computer Society","language":[{"iso":"eng"}]},{"date_updated":"2024-09-17T09:57:07Z","publication_status":"epub_ahead","year":"2024","title":"Towards Automated Design: Automatically Generating Modeling Elements with Prompt Engineering and Generative Artificial Intelligence","author":[{"id":"86782","full_name":"Kulkarni, Pranav Jayant","first_name":"Pranav Jayant","last_name":"Kulkarni"},{"id":"44458","full_name":"Tissen, Denis","first_name":"Denis","last_name":"Tissen"},{"id":"36312","first_name":"Ruslan","last_name":"Bernijazov","full_name":"Bernijazov, Ruslan"},{"last_name":"Dumitrescu","first_name":"Roman","full_name":"Dumitrescu, Roman","id":"16190"}],"publication_identifier":{"unknown":["978-1-912254-21-7"]},"doi":"10.35199/NORDDESIGN2024.66","language":[{"iso":"eng"}],"related_material":{"link":[{"relation":"confirmation","url":"https://www.designsociety.org/publication/47658/Towards+Automated+Design%3A+Automatically+Generating+Modeling+Elements+with+Prompt+Engineering+and+Generative+Artificial+Intelligence"}]},"abstract":[{"text":"Developing Intelligent Technical Systems (ITS) involves a complex process encompassing planning, analysis, design, production, and maintenance. Model-Based Systems Engineering (MBSE) is a key methodology for systematic systems engineering. Designing models for ITS requires harmonious interaction of various elements, posing a challenge in MBSE. Leveraging Generative Artificial Intelligence, we generated a dataset for modeling, using prompt engineering on large language models. The generated artifacts can aid engineers in MBSE design or serve as synthetic training data for AI assistants.","lang":"eng"}],"publication":"DS 130: Proceedings of NordDesign 2024","type":"conference","keyword":["Data Driven Design","Design Automation","Systems Engineering (SE)","Artificial Intelligence (AI)"],"date_created":"2024-09-17T09:56:43Z","status":"public","conference":{"start_date":"2024-08-12","name":"NordDesign Conference 2024","location":"Reykjavik","end_date":"2024-08-14"},"user_id":"86782","editor":[{"last_name":"Malmqvist","first_name":"J.","full_name":"Malmqvist, J."},{"full_name":"Candi, M.","last_name":"Candi","first_name":"M."},{"last_name":"Saemundsson","first_name":"R.","full_name":"Saemundsson, R."},{"first_name":"F.","last_name":"Bystrom","full_name":"Bystrom, F."},{"full_name":"Isaksson, O.","last_name":"Isaksson","first_name":"O."}],"page":"617-625","_id":"56166","citation":{"mla":"Kulkarni, Pranav Jayant, et al. “Towards Automated Design: Automatically Generating Modeling Elements with Prompt Engineering and Generative Artificial Intelligence.” <i>DS 130: Proceedings of NordDesign 2024</i>, edited by J. Malmqvist et al., 2024, pp. 617–25, doi:<a href=\"https://doi.org/10.35199/NORDDESIGN2024.66\">10.35199/NORDDESIGN2024.66</a>.","apa":"Kulkarni, P. J., Tissen, D., Bernijazov, R., &#38; Dumitrescu, R. (2024). Towards Automated Design: Automatically Generating Modeling Elements with Prompt Engineering and Generative Artificial Intelligence. In J. Malmqvist, M. Candi, R. Saemundsson, F. Bystrom, &#38; O. Isaksson (Eds.), <i>DS 130: Proceedings of NordDesign 2024</i> (pp. 617–625). <a href=\"https://doi.org/10.35199/NORDDESIGN2024.66\">https://doi.org/10.35199/NORDDESIGN2024.66</a>","ieee":"P. J. Kulkarni, D. Tissen, R. Bernijazov, and R. Dumitrescu, “Towards Automated Design: Automatically Generating Modeling Elements with Prompt Engineering and Generative Artificial Intelligence,” in <i>DS 130: Proceedings of NordDesign 2024</i>, Reykjavik, 2024, pp. 617–625, doi: <a href=\"https://doi.org/10.35199/NORDDESIGN2024.66\">10.35199/NORDDESIGN2024.66</a>.","chicago":"Kulkarni, Pranav Jayant, Denis Tissen, Ruslan Bernijazov, and Roman Dumitrescu. “Towards Automated Design: Automatically Generating Modeling Elements with Prompt Engineering and Generative Artificial Intelligence.” In <i>DS 130: Proceedings of NordDesign 2024</i>, edited by J. Malmqvist, M. Candi, R. Saemundsson, F. Bystrom, and O. Isaksson, 617–25, 2024. <a href=\"https://doi.org/10.35199/NORDDESIGN2024.66\">https://doi.org/10.35199/NORDDESIGN2024.66</a>.","ama":"Kulkarni PJ, Tissen D, Bernijazov R, Dumitrescu R. Towards Automated Design: Automatically Generating Modeling Elements with Prompt Engineering and Generative Artificial Intelligence. In: Malmqvist J, Candi M, Saemundsson R, Bystrom F, Isaksson O, eds. <i>DS 130: Proceedings of NordDesign 2024</i>. ; 2024:617-625. doi:<a href=\"https://doi.org/10.35199/NORDDESIGN2024.66\">10.35199/NORDDESIGN2024.66</a>","short":"P.J. Kulkarni, D. Tissen, R. Bernijazov, R. Dumitrescu, in: J. Malmqvist, M. Candi, R. Saemundsson, F. Bystrom, O. Isaksson (Eds.), DS 130: Proceedings of NordDesign 2024, 2024, pp. 617–625.","bibtex":"@inproceedings{Kulkarni_Tissen_Bernijazov_Dumitrescu_2024, title={Towards Automated Design: Automatically Generating Modeling Elements with Prompt Engineering and Generative Artificial Intelligence}, DOI={<a href=\"https://doi.org/10.35199/NORDDESIGN2024.66\">10.35199/NORDDESIGN2024.66</a>}, booktitle={DS 130: Proceedings of NordDesign 2024}, author={Kulkarni, Pranav Jayant and Tissen, Denis and Bernijazov, Ruslan and Dumitrescu, Roman}, editor={Malmqvist, J. and Candi, M. and Saemundsson, R. and Bystrom, F. and Isaksson, O.}, year={2024}, pages={617–625} }"}},{"volume":3,"user_id":"105344","_id":"62078","publisher":"European Society for Composite Materials (ESCM)","page":"1252–1259","status":"public","project":[{"_id":"130","name":"TRR 285:  Methodenentwicklung zur mechanischen Fügbarkeit in wandlungsfähigen Prozessketten"},{"_id":"137","name":"TRR 285 - Subproject A03"},{"_id":"131","name":"TRR 285 - Project Area A"}],"citation":{"bibtex":"@inproceedings{Gerritzen_Hornig_Winkler_Gude_2024, title={Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning}, volume={3}, DOI={<a href=\"https://doi.org/10.60691/yj56-np80\">10.60691/yj56-np80</a>}, booktitle={ECCM21 - Proceedings of the 21st European Conference on Composite Materials}, publisher={European Society for Composite Materials (ESCM)}, author={Gerritzen, Johannes and Hornig, Andreas and Winkler, Peter and Gude, Maik}, year={2024}, pages={1252–1259} }","short":"J. Gerritzen, A. Hornig, P. Winkler, M. Gude, in: ECCM21 - Proceedings of the 21st European Conference on Composite Materials, European Society for Composite Materials (ESCM), 2024, pp. 1252–1259.","ama":"Gerritzen J, Hornig A, Winkler P, Gude M. Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning. In: <i>ECCM21 - Proceedings of the 21st European Conference on Composite Materials</i>. Vol 3. European Society for Composite Materials (ESCM); 2024:1252–1259. doi:<a href=\"https://doi.org/10.60691/yj56-np80\">10.60691/yj56-np80</a>","chicago":"Gerritzen, Johannes, Andreas Hornig, Peter Winkler, and Maik Gude. “Direct Parameter Identification for Highly Nonlinear Strain Rate Dependent Constitutive Models Using Machine Learning.” In <i>ECCM21 - Proceedings of the 21st European Conference on Composite Materials</i>, 3:1252–1259. European Society for Composite Materials (ESCM), 2024. <a href=\"https://doi.org/10.60691/yj56-np80\">https://doi.org/10.60691/yj56-np80</a>.","ieee":"J. Gerritzen, A. Hornig, P. Winkler, and M. Gude, “Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning,” in <i>ECCM21 - Proceedings of the 21st European Conference on Composite Materials</i>, 2024, vol. 3, pp. 1252–1259, doi: <a href=\"https://doi.org/10.60691/yj56-np80\">10.60691/yj56-np80</a>.","mla":"Gerritzen, Johannes, et al. “Direct Parameter Identification for Highly Nonlinear Strain Rate Dependent Constitutive Models Using Machine Learning.” <i>ECCM21 - Proceedings of the 21st European Conference on Composite Materials</i>, vol. 3, European Society for Composite Materials (ESCM), 2024, pp. 1252–1259, doi:<a href=\"https://doi.org/10.60691/yj56-np80\">10.60691/yj56-np80</a>.","apa":"Gerritzen, J., Hornig, A., Winkler, P., &#38; Gude, M. (2024). Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning. <i>ECCM21 - Proceedings of the 21st European Conference on Composite Materials</i>, <i>3</i>, 1252–1259. <a href=\"https://doi.org/10.60691/yj56-np80\">https://doi.org/10.60691/yj56-np80</a>"},"doi":"10.60691/yj56-np80","language":[{"iso":"eng"}],"intvolume":"         3","date_updated":"2026-02-27T06:46:21Z","publication_identifier":{"isbn":["978-2-912985-01-9"]},"author":[{"full_name":"Gerritzen, Johannes","first_name":"Johannes","orcid":"0000-0002-0169-8602","last_name":"Gerritzen","id":"105344"},{"first_name":"Andreas","last_name":"Hornig","full_name":"Hornig, Andreas"},{"full_name":"Winkler, Peter","last_name":"Winkler","first_name":"Peter"},{"full_name":"Gude, Maik","last_name":"Gude","first_name":"Maik"}],"year":"2024","title":"Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning","type":"conference","keyword":["Direct parameter identification","Machine learning","Convolutional neural networks","Strain rate dependency","Fiber reinforced plastics","woven composites","segmentation","synthetic training data","x-ray computed tomography"],"date_created":"2025-11-04T12:47:06Z","abstract":[{"text":"Fiber reinforced plastics (FRP) exhibit strongly non-linear deformation behavior. To capture this in simulations, intricate models with a variety of parameters are typically used. The identification of values for such parameters is highly challenging and requires in depth understanding of the model itself. Machine learning (ML) is a promising approach for alleviating this challenge by directly predicting parameters based on experimental results. So far, this works mostly for purely artificial data. In this work, two approaches to generalize to experimental data are investigated: a sequential approach, leveraging understanding of the constitutive model and a direct, purely data driven approach. This is exemplary carried out for a highly non-linear strain rate dependent constitutive model for the shear behavior of FRP.The sequential model is found to work better on both artificial and experimental data. It is capable of extracting well suited parameters from the artificial data under realistic conditions. For the experimental data, the model performance depends on the composition of the experimental curves, varying between excellently suiting and reasonable predictions. Taking the expert knowledge into account for ML-model training led to far better results than the purely data driven approach. Robustifying the model predictions on experimental data promises further improvement. ","lang":"eng"}],"publication":"ECCM21 - Proceedings of the 21st European Conference on Composite Materials"}]