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All-dielectric silicon metalens for two-dimensional particle manipulation in optical tweezers. 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International Society for Professional Innovation Management (ISPIM), 2020.","mla":"Frank, Maximilian, et al. “A Reference Process for the Smart Service Business: Development and Practical Implications.” Proceedings of the ISPIM Connects, International Society for Professional Innovation Management (ISPIM), 2020.","bibtex":"@inproceedings{Frank_Gausemeier_Hennig-Cardinal von Widdern_Koldewey_Menzefricke_Reinhold_2020, title={A reference process for the Smart Service business: development and practical implications}, booktitle={Proceedings of the ISPIM connects}, publisher={International Society for Professional Innovation Management (ISPIM)}, author={Frank, Maximilian and Gausemeier, Juergen and Hennig-Cardinal von Widdern, Nils and Koldewey, Christian and Menzefricke, Joern Steffen and Reinhold, Jannik}, year={2020} }","short":"M. Frank, J. Gausemeier, N. Hennig-Cardinal von Widdern, C. Koldewey, J.S. Menzefricke, J. 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Becker, K. Joachim, C. Koldewey, J. Reinhold, R. Dumitrescu, in: Proceedings of the 2020 ISPIM Innovation Conference (Virtual) Event “Innovating in Times of Crisis,” ISPIM Innovation Conference, 2020.","ieee":"J.-K. Becker, K. Joachim, C. Koldewey, J. Reinhold, and R. Dumitrescu, “Scaling Digital Business Models: A Case from the Automotive Industry,” in Proceedings of the 2020 ISPIM Innovation Conference (Virtual) Event “Innovating in Times of Crisis,” 2020."},"type":"conference","language":[{"iso":"eng"}]},{"user_id":"5786","title":"Extreme Algorithm Selection with Dyadic Feature Representation","project":[{"_id":"1","name":"SFB 901"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"10","name":"SFB 901 - Subproject B2"},{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"date_created":"2020-07-21T10:06:51Z","status":"public","department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"publication":"Discovery Science","author":[{"id":"38209","last_name":"Tornede","full_name":"Tornede, Alexander","first_name":"Alexander"},{"first_name":"Marcel Dominik","full_name":"Wever, Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818","last_name":"Wever","id":"33176"},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","id":"48129","last_name":"Hüllermeier"}],"conference":{"name":"Discovery Science 2020"},"date_updated":"2022-01-06T06:53:10Z","_id":"17407","language":[{"iso":"eng"}],"type":"conference","year":"2020","citation":{"chicago":"Tornede, Alexander, Marcel Dominik Wever, and Eyke Hüllermeier. “Extreme Algorithm Selection with Dyadic Feature Representation.” In Discovery Science, 2020.","apa":"Tornede, A., Wever, M. D., & Hüllermeier, E. (2020). Extreme Algorithm Selection with Dyadic Feature Representation. Discovery Science. Discovery Science 2020.","ama":"Tornede A, Wever MD, Hüllermeier E. Extreme Algorithm Selection with Dyadic Feature Representation. In: Discovery Science. ; 2020.","bibtex":"@inproceedings{Tornede_Wever_Hüllermeier_2020, title={Extreme Algorithm Selection with Dyadic Feature Representation}, booktitle={Discovery Science}, author={Tornede, Alexander and Wever, Marcel Dominik and Hüllermeier, Eyke}, year={2020} }","mla":"Tornede, Alexander, et al. “Extreme Algorithm Selection with Dyadic Feature Representation.” Discovery Science, 2020.","short":"A. Tornede, M.D. Wever, E. Hüllermeier, in: Discovery Science, 2020.","ieee":"A. Tornede, M. D. Wever, and E. Hüllermeier, “Extreme Algorithm Selection with Dyadic Feature Representation,” presented at the Discovery Science 2020, 2020."}},{"language":[{"iso":"eng"}],"citation":{"apa":"Hanselle, J. M., Tornede, A., Wever, M. D., & Hüllermeier, E. (2020). Hybrid Ranking and Regression for Algorithm Selection. KI 2020: Advances in Artificial Intelligence. 43rd German Conference on Artificial Intelligence.","ama":"Hanselle JM, Tornede A, Wever MD, Hüllermeier E. Hybrid Ranking and Regression for Algorithm Selection. In: KI 2020: Advances in Artificial Intelligence. ; 2020.","chicago":"Hanselle, Jonas Manuel, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Hybrid Ranking and Regression for Algorithm Selection.” In KI 2020: Advances in Artificial Intelligence, 2020.","bibtex":"@inproceedings{Hanselle_Tornede_Wever_Hüllermeier_2020, title={Hybrid Ranking and Regression for Algorithm Selection}, booktitle={KI 2020: Advances in Artificial Intelligence}, author={Hanselle, Jonas Manuel and Tornede, Alexander and Wever, Marcel Dominik and Hüllermeier, Eyke}, year={2020} }","mla":"Hanselle, Jonas Manuel, et al. “Hybrid Ranking and Regression for Algorithm Selection.” KI 2020: Advances in Artificial Intelligence, 2020.","short":"J.M. Hanselle, A. Tornede, M.D. Wever, E. Hüllermeier, in: KI 2020: Advances in Artificial Intelligence, 2020.","ieee":"J. M. Hanselle, A. Tornede, M. D. Wever, and E. Hüllermeier, “Hybrid Ranking and Regression for Algorithm Selection,” presented at the 43rd German Conference on Artificial Intelligence, 2020."},"type":"conference","year":"2020","conference":{"name":"43rd German Conference on Artificial Intelligence"},"date_updated":"2022-01-06T06:53:10Z","_id":"17408","publication":"KI 2020: Advances in Artificial Intelligence","department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"author":[{"first_name":"Jonas Manuel","orcid":"0000-0002-1231-4985","full_name":"Hanselle, Jonas Manuel","last_name":"Hanselle","id":"43980"},{"first_name":"Alexander","full_name":"Tornede, Alexander","last_name":"Tornede","id":"38209"},{"first_name":"Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818","full_name":"Wever, Marcel Dominik","last_name":"Wever","id":"33176"},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","id":"48129","last_name":"Hüllermeier"}],"date_created":"2020-07-21T10:21:09Z","project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area B","_id":"3"},{"_id":"10","name":"SFB 901 - Subproject B2"},{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"status":"public","user_id":"5786","title":"Hybrid Ranking and Regression for Algorithm Selection"},{"publisher":"Springer","author":[{"first_name":"Kathrin","full_name":"Flaßkamp, Kathrin","last_name":"Flaßkamp"},{"full_name":"Ober-Blöbaum, Sina","first_name":"Sina","last_name":"Ober-Blöbaum"},{"last_name":"Peitz","id":"47427","first_name":"Sebastian","orcid":"0000-0002-3389-793X","full_name":"Peitz, Sebastian"}],"publication":"Advances in Dynamics, Optimization and Computation","department":[{"_id":"101"}],"editor":[{"last_name":"Junge","first_name":"Oliver","full_name":"Junge, Oliver"},{"last_name":"Schütze","first_name":"Oliver","full_name":"Schütze, Oliver"},{"last_name":"Froyland","first_name":"Gary","full_name":"Froyland, Gary"},{"last_name":"Ober-Blöbaum","first_name":"Sina","full_name":"Ober-Blöbaum, Sina"},{"last_name":"Padberg-Gehle","first_name":"Kathrin","full_name":"Padberg-Gehle, Kathrin"}],"publication_identifier":{"issn":["2198-4182","2198-4190"],"isbn":["9783030512637","9783030512644"]},"publication_status":"published","status":"public","date_created":"2020-07-27T09:50:19Z","place":"Cham","abstract":[{"lang":"eng","text":"Many dynamical systems possess symmetries, e.g. rotational and translational invariances of mechanical systems. These can be beneficially exploited in the design of numerical optimal control methods. We present a model predictive control scheme which is based on a library of precomputed motion primitives. The primitives are equivalence classes w.r.t. the symmetry of the optimal control problems. Trim primitives as relative equilibria w.r.t. this symmetry, play a crucial role in the algorithm. The approach is illustrated using an academic mobile robot example."}],"title":"Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach","user_id":"47427","type":"book_chapter","citation":{"ieee":"K. Flaßkamp, S. Ober-Blöbaum, and S. Peitz, “Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach,” in Advances in Dynamics, Optimization and Computation, O. Junge, O. Schütze, G. Froyland, S. Ober-Blöbaum, and K. Padberg-Gehle, Eds. Cham: Springer, 2020.","short":"K. Flaßkamp, S. Ober-Blöbaum, S. Peitz, in: O. Junge, O. Schütze, G. Froyland, S. Ober-Blöbaum, K. Padberg-Gehle (Eds.), Advances in Dynamics, Optimization and Computation, Springer, Cham, 2020.","mla":"Flaßkamp, Kathrin, et al. “Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach.” Advances in Dynamics, Optimization and Computation, edited by Oliver Junge et al., Springer, 2020, doi:10.1007/978-3-030-51264-4_9.","bibtex":"@inbook{Flaßkamp_Ober-Blöbaum_Peitz_2020, place={Cham}, title={Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach}, DOI={10.1007/978-3-030-51264-4_9}, booktitle={Advances in Dynamics, Optimization and Computation}, publisher={Springer}, author={Flaßkamp, Kathrin and Ober-Blöbaum, Sina and Peitz, Sebastian}, editor={Junge, Oliver and Schütze, Oliver and Froyland, Gary and Ober-Blöbaum, Sina and Padberg-Gehle, KathrinEditors}, year={2020} }","ama":"Flaßkamp K, Ober-Blöbaum S, Peitz S. Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach. In: Junge O, Schütze O, Froyland G, Ober-Blöbaum S, Padberg-Gehle K, eds. Advances in Dynamics, Optimization and Computation. Cham: Springer; 2020. doi:10.1007/978-3-030-51264-4_9","apa":"Flaßkamp, K., Ober-Blöbaum, S., & Peitz, S. (2020). Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach. In O. Junge, O. Schütze, G. Froyland, S. Ober-Blöbaum, & K. Padberg-Gehle (Eds.), Advances in Dynamics, Optimization and Computation. Cham: Springer. https://doi.org/10.1007/978-3-030-51264-4_9","chicago":"Flaßkamp, Kathrin, Sina Ober-Blöbaum, and Sebastian Peitz. “Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach.” In Advances in Dynamics, Optimization and Computation, edited by Oliver Junge, Oliver Schütze, Gary Froyland, Sina Ober-Blöbaum, and Kathrin Padberg-Gehle. Cham: Springer, 2020. https://doi.org/10.1007/978-3-030-51264-4_9."},"year":"2020","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:53:11Z","_id":"17411","doi":"10.1007/978-3-030-51264-4_9"},{"language":[{"iso":"eng"}],"year":"2020","type":"conference","citation":{"bibtex":"@inproceedings{Tornede_Tornede_Wever_Mohr_Hüllermeier_2020, title={AutoML for Predictive Maintenance: One Tool to RUL Them All}, DOI={10.1007/978-3-030-66770-2_8}, booktitle={Proceedings of the ECMLPKDD 2020}, author={Tornede, Tanja and Tornede, Alexander and Wever, Marcel Dominik and Mohr, Felix and Hüllermeier, Eyke}, year={2020} }","mla":"Tornede, Tanja, et al. “AutoML for Predictive Maintenance: One Tool to RUL Them All.” Proceedings of the ECMLPKDD 2020, 2020, doi:10.1007/978-3-030-66770-2_8.","chicago":"Tornede, Tanja, Alexander Tornede, Marcel Dominik Wever, Felix Mohr, and Eyke Hüllermeier. “AutoML for Predictive Maintenance: One Tool to RUL Them All.” In Proceedings of the ECMLPKDD 2020, 2020. https://doi.org/10.1007/978-3-030-66770-2_8.","ama":"Tornede T, Tornede A, Wever MD, Mohr F, Hüllermeier E. AutoML for Predictive Maintenance: One Tool to RUL Them All. In: Proceedings of the ECMLPKDD 2020. ; 2020. doi:10.1007/978-3-030-66770-2_8","apa":"Tornede, T., Tornede, A., Wever, M. D., Mohr, F., & Hüllermeier, E. (2020). AutoML for Predictive Maintenance: One Tool to RUL Them All. Proceedings of the ECMLPKDD 2020. IOTStream Workshop @ ECMLPKDD 2020. https://doi.org/10.1007/978-3-030-66770-2_8","ieee":"T. Tornede, A. Tornede, M. D. Wever, F. Mohr, and E. Hüllermeier, “AutoML for Predictive Maintenance: One Tool to RUL Them All,” presented at the IOTStream Workshop @ ECMLPKDD 2020, 2020, doi: 10.1007/978-3-030-66770-2_8.","short":"T. Tornede, A. Tornede, M.D. Wever, F. Mohr, E. Hüllermeier, in: Proceedings of the ECMLPKDD 2020, 2020."},"doi":"10.1007/978-3-030-66770-2_8","_id":"17424","date_updated":"2022-01-06T06:53:11Z","conference":{"name":"IOTStream Workshop @ ECMLPKDD 2020"},"status":"public","date_created":"2020-07-28T09:17:41Z","project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"},{"name":"SFB 901 - Project Area B","_id":"3"},{"_id":"10","name":"SFB 901 - Subproject B2"},{"_id":"1","name":"SFB 901"},{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"author":[{"first_name":"Tanja","full_name":"Tornede, Tanja","last_name":"Tornede","id":"40795"},{"last_name":"Tornede","id":"38209","first_name":"Alexander","full_name":"Tornede, Alexander"},{"full_name":"Wever, Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818","first_name":"Marcel Dominik","id":"33176","last_name":"Wever"},{"last_name":"Mohr","first_name":"Felix","full_name":"Mohr, Felix"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","id":"48129"}],"department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"publication":"Proceedings of the ECMLPKDD 2020","user_id":"5786","title":"AutoML for Predictive Maintenance: One Tool to RUL Them All"},{"user_id":"40795","title":"Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions","abstract":[{"lang":"eng","text":"The development of renewable energies and smart mobility has profoundly impacted the future of the distribution grid. An increasing bidirectional energy flow stresses the assets of the distribution grid, especially medium voltage switchgear. This calls for improved maintenance strategies to prevent critical failures. Predictive maintenance, a maintenance strategy relying on current condition data of assets, serves as a guideline. Novel sensors covering thermal, mechanical, and partial discharge aspects of switchgear, enable continuous condition monitoring of some of the most critical assets of the distribution grid. Combined with machine learning algorithms, the demands put on the distribution grid by the energy and mobility revolutions can be handled. In this paper, we review the current state-of-the-art of all aspects of condition monitoring for medium voltage switchgear. Furthermore, we present an approach to develop a predictive maintenance system based on novel sensors and machine learning. We show how the existing medium voltage grid infrastructure can adapt these new needs on an economic scale."}],"status":"public","date_created":"2020-07-28T09:47:36Z","publication_identifier":{"issn":["1424-8220"]},"publication_status":"published","author":[{"full_name":"Hoffmann, Martin W.","first_name":"Martin W.","last_name":"Hoffmann"},{"full_name":"Wildermuth, Stephan","first_name":"Stephan","last_name":"Wildermuth"},{"full_name":"Gitzel, Ralf","first_name":"Ralf","last_name":"Gitzel"},{"last_name":"Boyaci","full_name":"Boyaci, Aydin","first_name":"Aydin"},{"full_name":"Gebhardt, Jörg","first_name":"Jörg","last_name":"Gebhardt"},{"first_name":"Holger","full_name":"Kaul, Holger","last_name":"Kaul"},{"full_name":"Amihai, Ido","first_name":"Ido","last_name":"Amihai"},{"last_name":"Forg","full_name":"Forg, Bodo","first_name":"Bodo"},{"first_name":"Michael","full_name":"Suriyah, Michael","last_name":"Suriyah"},{"first_name":"Thomas","full_name":"Leibfried, Thomas","last_name":"Leibfried"},{"full_name":"Stich, Volker","first_name":"Volker","last_name":"Stich"},{"full_name":"Hicking, Jan","first_name":"Jan","last_name":"Hicking"},{"full_name":"Bremer, Martin","first_name":"Martin","last_name":"Bremer"},{"full_name":"Kaminski, Lars","first_name":"Lars","last_name":"Kaminski"},{"full_name":"Beverungen, Daniel","first_name":"Daniel","id":"59677","last_name":"Beverungen"},{"full_name":"zur Heiden, Philipp","first_name":"Philipp","id":"64394","last_name":"zur Heiden"},{"first_name":"Tanja","full_name":"Tornede, Tanja","last_name":"Tornede","id":"40795"}],"publication":"Sensors","oa":"1","article_number":"2099","doi":"10.3390/s20072099","date_updated":"2022-01-06T06:53:11Z","_id":"17426","language":[{"iso":"eng"}],"type":"journal_article","year":"2020","citation":{"ama":"Hoffmann MW, Wildermuth S, Gitzel R, et al. Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions. Sensors. 2020. doi:10.3390/s20072099","apa":"Hoffmann, M. W., Wildermuth, S., Gitzel, R., Boyaci, A., Gebhardt, J., Kaul, H., … Tornede, T. (2020). Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions. Sensors. https://doi.org/10.3390/s20072099","chicago":"Hoffmann, Martin W., Stephan Wildermuth, Ralf Gitzel, Aydin Boyaci, Jörg Gebhardt, Holger Kaul, Ido Amihai, et al. “Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions.” Sensors, 2020. https://doi.org/10.3390/s20072099.","mla":"Hoffmann, Martin W., et al. “Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions.” Sensors, 2099, 2020, doi:10.3390/s20072099.","bibtex":"@article{Hoffmann_Wildermuth_Gitzel_Boyaci_Gebhardt_Kaul_Amihai_Forg_Suriyah_Leibfried_et al._2020, title={Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions}, DOI={10.3390/s20072099}, number={2099}, journal={Sensors}, author={Hoffmann, Martin W. and Wildermuth, Stephan and Gitzel, Ralf and Boyaci, Aydin and Gebhardt, Jörg and Kaul, Holger and Amihai, Ido and Forg, Bodo and Suriyah, Michael and Leibfried, Thomas and et al.}, year={2020} }","short":"M.W. Hoffmann, S. Wildermuth, R. Gitzel, A. Boyaci, J. Gebhardt, H. Kaul, I. Amihai, B. Forg, M. Suriyah, T. Leibfried, V. Stich, J. Hicking, M. Bremer, L. Kaminski, D. Beverungen, P. zur Heiden, T. Tornede, Sensors (2020).","ieee":"M. W. Hoffmann et al., “Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions,” Sensors, 2020."},"main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/1424-8220/20/7/2099"}]},{"language":[{"iso":"eng"}],"year":"2020","citation":{"short":"D.Q. Wang, D. Reuter, A.D. Wieck, A.R. Hamilton, O. Klochan, Applied Physics Letters (2020).","ieee":"D. Q. Wang, D. Reuter, A. D. Wieck, A. R. Hamilton, and O. Klochan, “Two-dimensional lateral surface superlattices in GaAs heterostructures with independent control of carrier density and modulation potential,” Applied Physics Letters, 2020.","apa":"Wang, D. Q., Reuter, D., Wieck, A. D., Hamilton, A. R., & Klochan, O. (2020). Two-dimensional lateral surface superlattices in GaAs heterostructures with independent control of carrier density and modulation potential. Applied Physics Letters. https://doi.org/10.1063/5.0009462","ama":"Wang DQ, Reuter D, Wieck AD, Hamilton AR, Klochan O. Two-dimensional lateral surface superlattices in GaAs heterostructures with independent control of carrier density and modulation potential. Applied Physics Letters. 2020. doi:10.1063/5.0009462","chicago":"Wang, D. Q., Dirk Reuter, A. D. Wieck, A. R. Hamilton, and O. Klochan. “Two-Dimensional Lateral Surface Superlattices in GaAs Heterostructures with Independent Control of Carrier Density and Modulation Potential.” Applied Physics Letters, 2020. https://doi.org/10.1063/5.0009462.","bibtex":"@article{Wang_Reuter_Wieck_Hamilton_Klochan_2020, title={Two-dimensional lateral surface superlattices in GaAs heterostructures with independent control of carrier density and modulation potential}, DOI={10.1063/5.0009462}, number={032102}, journal={Applied Physics Letters}, author={Wang, D. Q. and Reuter, Dirk and Wieck, A. D. and Hamilton, A. R. and Klochan, O.}, year={2020} }","mla":"Wang, D. Q., et al. “Two-Dimensional Lateral Surface Superlattices in GaAs Heterostructures with Independent Control of Carrier Density and Modulation Potential.” Applied Physics Letters, 032102, 2020, doi:10.1063/5.0009462."},"type":"journal_article","article_number":"032102","doi":"10.1063/5.0009462","date_updated":"2022-01-06T06:53:12Z","_id":"17433","status":"public","date_created":"2020-07-29T08:21:01Z","publication_status":"published","publication_identifier":{"issn":["0003-6951","1077-3118"]},"author":[{"last_name":"Wang","first_name":"D. Q.","full_name":"Wang, D. Q."},{"first_name":"Dirk","full_name":"Reuter, Dirk","last_name":"Reuter","id":"37763"},{"last_name":"Wieck","first_name":"A. D.","full_name":"Wieck, A. D."},{"first_name":"A. R.","full_name":"Hamilton, A. R.","last_name":"Hamilton"},{"first_name":"O.","full_name":"Klochan, O.","last_name":"Klochan"}],"department":[{"_id":"15"},{"_id":"230"}],"publication":"Applied Physics Letters","user_id":"42514","title":"Two-dimensional lateral surface superlattices in GaAs heterostructures with independent control of carrier density and modulation potential"}]