---
_id: '27141'
author:
- first_name: Rik
full_name: Rasor, Rik
last_name: Rasor
- first_name: Denis
full_name: Göllner, Denis
last_name: Göllner
- first_name: Ruslan
full_name: Bernijazov, Ruslan
last_name: Bernijazov
- first_name: Lydia
full_name: Kaiser, Lydia
last_name: Kaiser
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Rasor R, Göllner D, Bernijazov R, Kaiser L, Dumitrescu R. Towards collaborative
life cycle specification of digital twins in manufacturing value chains. In: Procedia
CIRP. Vol 98. Elsevier; 2021:229-234.'
apa: Rasor, R., Göllner, D., Bernijazov, R., Kaiser, L., & Dumitrescu, R. (2021).
Towards collaborative life cycle specification of digital twins in manufacturing
value chains. Procedia CIRP, 98, 229–234.
bibtex: '@inproceedings{Rasor_Göllner_Bernijazov_Kaiser_Dumitrescu_2021, title={Towards
collaborative life cycle specification of digital twins in manufacturing value
chains}, volume={98}, booktitle={Procedia CIRP}, publisher={Elsevier}, author={Rasor,
Rik and Göllner, Denis and Bernijazov, Ruslan and Kaiser, Lydia and Dumitrescu,
Roman}, year={2021}, pages={229–234} }'
chicago: Rasor, Rik, Denis Göllner, Ruslan Bernijazov, Lydia Kaiser, and Roman Dumitrescu.
“Towards Collaborative Life Cycle Specification of Digital Twins in Manufacturing
Value Chains.” In Procedia CIRP, 98:229–34. Elsevier, 2021.
ieee: R. Rasor, D. Göllner, R. Bernijazov, L. Kaiser, and R. Dumitrescu, “Towards
collaborative life cycle specification of digital twins in manufacturing value
chains,” in Procedia CIRP, 2021, vol. 98, pp. 229–234.
mla: Rasor, Rik, et al. “Towards Collaborative Life Cycle Specification of Digital
Twins in Manufacturing Value Chains.” Procedia CIRP, vol. 98, Elsevier,
2021, pp. 229–34.
short: 'R. Rasor, D. Göllner, R. Bernijazov, L. Kaiser, R. Dumitrescu, in: Procedia
CIRP, Elsevier, 2021, pp. 229–234.'
date_created: 2021-11-04T08:18:09Z
date_updated: 2022-01-06T06:57:35Z
department:
- _id: '563'
intvolume: ' 98'
language:
- iso: eng
page: 229-234
publication: Procedia CIRP
publication_status: published
publisher: Elsevier
status: public
title: Towards collaborative life cycle specification of digital twins in manufacturing
value chains
type: conference
user_id: '15782'
volume: 98
year: '2021'
...
---
_id: '27142'
author:
- first_name: Laban
full_name: Asmar, Laban
last_name: Asmar
- first_name: Khoren
full_name: Grigoryan, Khoren
last_name: Grigoryan
- first_name: Cheng Yee
full_name: Low, Cheng Yee
last_name: Low
- first_name: Daniel
full_name: Röltgen, Daniel
last_name: Röltgen
- first_name: Arno
full_name: Kühn, Arno
last_name: Kühn
- first_name: Roman
full_name: Dumitrescu, Roman
last_name: Dumitrescu
citation:
ama: 'Asmar L, Grigoryan K, Low CY, Röltgen D, Kühn A, Dumitrescu R. Structuring
Framework for Early Validation of Product Ideas. In: International Journal
of Integrated Engineering . Vol 13. ; 2021:229-240.'
apa: Asmar, L., Grigoryan, K., Low, C. Y., Röltgen, D., Kühn, A., & Dumitrescu,
R. (2021). Structuring Framework for Early Validation of Product Ideas. International
Journal of Integrated Engineering , 13(2), 229–240.
bibtex: '@inproceedings{Asmar_Grigoryan_Low_Röltgen_Kühn_Dumitrescu_2021, title={Structuring
Framework for Early Validation of Product Ideas}, volume={13}, number={2}, booktitle={International
Journal of Integrated Engineering }, author={Asmar, Laban and Grigoryan, Khoren
and Low, Cheng Yee and Röltgen, Daniel and Kühn, Arno and Dumitrescu, Roman},
year={2021}, pages={229–240} }'
chicago: Asmar, Laban, Khoren Grigoryan, Cheng Yee Low, Daniel Röltgen, Arno Kühn,
and Roman Dumitrescu. “Structuring Framework for Early Validation of Product Ideas.”
In International Journal of Integrated Engineering , 13:229–40, 2021.
ieee: L. Asmar, K. Grigoryan, C. Y. Low, D. Röltgen, A. Kühn, and R. Dumitrescu,
“Structuring Framework for Early Validation of Product Ideas,” in International
Journal of Integrated Engineering , 2021, vol. 13, no. 2, pp. 229–240.
mla: Asmar, Laban, et al. “Structuring Framework for Early Validation of Product
Ideas.” International Journal of Integrated Engineering , vol. 13, no.
2, 2021, pp. 229–40.
short: 'L. Asmar, K. Grigoryan, C.Y. Low, D. Röltgen, A. Kühn, R. Dumitrescu, in:
International Journal of Integrated Engineering , 2021, pp. 229–240.'
date_created: 2021-11-04T08:21:08Z
date_updated: 2022-01-06T06:57:35Z
department:
- _id: '563'
intvolume: ' 13'
issue: '2'
language:
- iso: eng
page: 229-240
publication: 'International Journal of Integrated Engineering '
publication_status: published
status: public
title: Structuring Framework for Early Validation of Product Ideas
type: conference
user_id: '15782'
volume: 13
year: '2021'
...
---
_id: '27158'
author:
- first_name: Linghui
full_name: Luo, Linghui
last_name: Luo
citation:
ama: Luo L. Improving Real-World Applicability of Static Taint Analysis.
Universität Paderborn; 2021.
apa: Luo, L. (2021). Improving Real-World Applicability of Static Taint Analysis.
Universität Paderborn.
bibtex: '@book{Luo_2021, title={Improving Real-World Applicability of Static Taint
Analysis}, publisher={Universität Paderborn}, author={Luo, Linghui}, year={2021}
}'
chicago: Luo, Linghui. Improving Real-World Applicability of Static Taint Analysis.
Universität Paderborn, 2021.
ieee: L. Luo, Improving Real-World Applicability of Static Taint Analysis.
Universität Paderborn, 2021.
mla: Luo, Linghui. Improving Real-World Applicability of Static Taint Analysis.
Universität Paderborn, 2021.
short: L. Luo, Improving Real-World Applicability of Static Taint Analysis, Universität
Paderborn, 2021.
date_created: 2021-11-04T13:58:35Z
date_updated: 2022-01-06T06:57:35Z
department:
- _id: '76'
language:
- iso: eng
publisher: Universität Paderborn
related_material:
link:
- relation: confirmation
url: https://www.bodden.de/pubs/phdLuo.pdf
status: public
title: Improving Real-World Applicability of Static Taint Analysis
type: dissertation
user_id: '15249'
year: '2021'
...
---
_id: '27418'
author:
- first_name: Nils
full_name: Weidmann, Nils
id: '53103'
last_name: Weidmann
- first_name: Anthony
full_name: Anjorin, Anthony
last_name: Anjorin
citation:
ama: 'Weidmann N, Anjorin A. eMoflon: : Neo - Consistency and Model Management with
Graph Databases. In: Iovino L, Michael Kristensen L, eds. {STAF} 2021 Workshop
Proceedings: 9th International Workshop on Bidirectional Transformations, Joint
Workshop on Foundations and Practice of Visual Modeling and Data for Model-Driven
Engineering, International Workshop on {MDE} for Smart IoT Systems, 4th International
Workshop on (Meta)Modeling for Healthcare Systems, and 20th International Workshop
on {OCL} and Textual Modeling Co-Located with Software Technologies: Applications
and Foundations, Federation of Conferences {(STAF} 2021), Virtual Event / Bergen,
Norway, June 21-25, 2021. Vol 2999. {CEUR} Workshop Proceedings. CEUR-WS.org;
2021:54-64.'
apa: 'Weidmann, N., & Anjorin, A. (2021). eMoflon: : Neo - Consistency and Model
Management with Graph Databases. In L. Iovino & L. Michael Kristensen (Eds.),
{STAF} 2021 Workshop Proceedings: 9th International Workshop on Bidirectional
Transformations, Joint Workshop on Foundations and Practice of Visual Modeling
and Data for Model-Driven Engineering, International workshop on {MDE} for Smart
IoT Systems, 4th International Workshop on (Meta)Modeling for Healthcare Systems,
and 20th International Workshop on {OCL} and Textual Modeling co-located with
Software Technologies: Applications and Foundations, Federation of Conferences
{(STAF} 2021), Virtual Event / Bergen, Norway, June 21-25, 2021 (Vol. 2999,
pp. 54–64). CEUR-WS.org.'
bibtex: '@inproceedings{Weidmann_Anjorin_2021, series={{CEUR} Workshop Proceedings},
title={eMoflon: : Neo - Consistency and Model Management with Graph Databases},
volume={2999}, booktitle={{STAF} 2021 Workshop Proceedings: 9th International
Workshop on Bidirectional Transformations, Joint Workshop on Foundations and Practice
of Visual Modeling and Data for Model-Driven Engineering, International workshop
on {MDE} for Smart IoT Systems, 4th International Workshop on (Meta)Modeling for
Healthcare Systems, and 20th International Workshop on {OCL} and Textual Modeling
co-located with Software Technologies: Applications and Foundations, Federation
of Conferences {(STAF} 2021), Virtual Event / Bergen, Norway, June 21-25, 2021},
publisher={CEUR-WS.org}, author={Weidmann, Nils and Anjorin, Anthony}, editor={Iovino,
Ludovico and Michael Kristensen, Lars}, year={2021}, pages={54–64}, collection={{CEUR}
Workshop Proceedings} }'
chicago: 'Weidmann, Nils, and Anthony Anjorin. “EMoflon: : Neo - Consistency and
Model Management with Graph Databases.” In {STAF} 2021 Workshop Proceedings:
9th International Workshop on Bidirectional Transformations, Joint Workshop on
Foundations and Practice of Visual Modeling and Data for Model-Driven Engineering,
International Workshop on {MDE} for Smart IoT Systems, 4th International Workshop
on (Meta)Modeling for Healthcare Systems, and 20th International Workshop on {OCL}
and Textual Modeling Co-Located with Software Technologies: Applications and Foundations,
Federation of Conferences {(STAF} 2021), Virtual Event / Bergen, Norway, June
21-25, 2021, edited by Ludovico Iovino and Lars Michael Kristensen, 2999:54–64.
{CEUR} Workshop Proceedings. CEUR-WS.org, 2021.'
ieee: 'N. Weidmann and A. Anjorin, “eMoflon: : Neo - Consistency and Model Management
with Graph Databases,” in {STAF} 2021 Workshop Proceedings: 9th International
Workshop on Bidirectional Transformations, Joint Workshop on Foundations and Practice
of Visual Modeling and Data for Model-Driven Engineering, International workshop
on {MDE} for Smart IoT Systems, 4th International Workshop on (Meta)Modeling for
Healthcare Systems, and 20th International Workshop on {OCL} and Textual Modeling
co-located with Software Technologies: Applications and Foundations, Federation
of Conferences {(STAF} 2021), Virtual Event / Bergen, Norway, June 21-25, 2021,
2021, vol. 2999, pp. 54–64.'
mla: 'Weidmann, Nils, and Anthony Anjorin. “EMoflon: : Neo - Consistency and Model
Management with Graph Databases.” {STAF} 2021 Workshop Proceedings: 9th International
Workshop on Bidirectional Transformations, Joint Workshop on Foundations and Practice
of Visual Modeling and Data for Model-Driven Engineering, International Workshop
on {MDE} for Smart IoT Systems, 4th International Workshop on (Meta)Modeling for
Healthcare Systems, and 20th International Workshop on {OCL} and Textual Modeling
Co-Located with Software Technologies: Applications and Foundations, Federation
of Conferences {(STAF} 2021), Virtual Event / Bergen, Norway, June 21-25, 2021,
edited by Ludovico Iovino and Lars Michael Kristensen, vol. 2999, CEUR-WS.org,
2021, pp. 54–64.'
short: 'N. Weidmann, A. Anjorin, in: L. Iovino, L. Michael Kristensen (Eds.), {STAF}
2021 Workshop Proceedings: 9th International Workshop on Bidirectional Transformations,
Joint Workshop on Foundations and Practice of Visual Modeling and Data for Model-Driven
Engineering, International Workshop on {MDE} for Smart IoT Systems, 4th International
Workshop on (Meta)Modeling for Healthcare Systems, and 20th International Workshop
on {OCL} and Textual Modeling Co-Located with Software Technologies: Applications
and Foundations, Federation of Conferences {(STAF} 2021), Virtual Event / Bergen,
Norway, June 21-25, 2021, CEUR-WS.org, 2021, pp. 54–64.'
date_created: 2021-11-15T08:39:42Z
date_updated: 2022-01-06T06:57:39Z
department:
- _id: '28'
- _id: '66'
editor:
- first_name: Ludovico
full_name: Iovino, Ludovico
last_name: Iovino
- first_name: Lars
full_name: Michael Kristensen, Lars
last_name: Michael Kristensen
intvolume: ' 2999'
language:
- iso: eng
page: 54-64
publication: '{STAF} 2021 Workshop Proceedings: 9th International Workshop on Bidirectional
Transformations, Joint Workshop on Foundations and Practice of Visual Modeling and
Data for Model-Driven Engineering, International workshop on {MDE} for Smart IoT
Systems, 4th International Workshop on (Meta)Modeling for Healthcare Systems, and
20th International Workshop on {OCL} and Textual Modeling co-located with Software
Technologies: Applications and Foundations, Federation of Conferences {(STAF} 2021),
Virtual Event / Bergen, Norway, June 21-25, 2021'
publisher: CEUR-WS.org
series_title: '{CEUR} Workshop Proceedings'
status: public
title: 'eMoflon: : Neo - Consistency and Model Management with Graph Databases'
type: conference
user_id: '53103'
volume: 2999
year: '2021'
...
---
_id: '27494'
author:
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
citation:
ama: 'Hüsing S. Epistemic Programming - An insight-driven programming concept for
Data Science. In: Seppälä O, Petersen A, eds. Koli Calling ’21: 21st Koli Calling
International Conference on Computing Education Research, Joensuu, Finland, November
18 - 21, 2021. ACM; 2021:42:1-42:3. doi:10.1145/3488042.3490510'
apa: 'Hüsing, S. (2021). Epistemic Programming - An insight-driven programming concept
for Data Science. In O. Seppälä & A. Petersen (Eds.), Koli Calling ’21:
21st Koli Calling International Conference on Computing Education Research, Joensuu,
Finland, November 18 - 21, 2021 (p. 42:1-42:3). ACM. https://doi.org/10.1145/3488042.3490510'
bibtex: '@inproceedings{Hüsing_2021, title={Epistemic Programming - An insight-driven
programming concept for Data Science}, DOI={10.1145/3488042.3490510},
booktitle={Koli Calling ’21: 21st Koli Calling International Conference on Computing
Education Research, Joensuu, Finland, November 18 - 21, 2021}, publisher={ACM},
author={Hüsing, Sven}, editor={Seppälä, Otto and Petersen, Andrew}, year={2021},
pages={42:1-42:3} }'
chicago: 'Hüsing, Sven. “Epistemic Programming - An Insight-Driven Programming Concept
for Data Science.” In Koli Calling ’21: 21st Koli Calling International Conference
on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021,
edited by Otto Seppälä and Andrew Petersen, 42:1-42:3. ACM, 2021. https://doi.org/10.1145/3488042.3490510.'
ieee: 'S. Hüsing, “Epistemic Programming - An insight-driven programming concept
for Data Science,” in Koli Calling ’21: 21st Koli Calling International Conference
on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021,
2021, p. 42:1-42:3, doi: 10.1145/3488042.3490510.'
mla: 'Hüsing, Sven. “Epistemic Programming - An Insight-Driven Programming Concept
for Data Science.” Koli Calling ’21: 21st Koli Calling International Conference
on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021,
edited by Otto Seppälä and Andrew Petersen, ACM, 2021, p. 42:1-42:3, doi:10.1145/3488042.3490510.'
short: 'S. Hüsing, in: O. Seppälä, A. Petersen (Eds.), Koli Calling ’21: 21st Koli
Calling International Conference on Computing Education Research, Joensuu, Finland,
November 18 - 21, 2021, ACM, 2021, p. 42:1-42:3.'
date_created: 2021-11-16T08:15:11Z
date_updated: 2022-01-06T06:57:40Z
department:
- _id: '67'
doi: 10.1145/3488042.3490510
editor:
- first_name: Otto
full_name: Seppälä, Otto
last_name: Seppälä
- first_name: Andrew
full_name: Petersen, Andrew
last_name: Petersen
language:
- iso: eng
page: 42:1-42:3
publication: 'Koli Calling ''21: 21st Koli Calling International Conference on Computing
Education Research, Joensuu, Finland, November 18 - 21, 2021'
publisher: ACM
status: public
title: Epistemic Programming - An insight-driven programming concept for Data Science
type: conference
user_id: '21145'
year: '2021'
...
---
_id: '27495'
author:
- first_name: Klaus
full_name: Bovermann, Klaus
last_name: Bovermann
- first_name: Yannik
full_name: Fleischer, Yannik
last_name: Fleischer
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Christian
full_name: Opitz, Christian
last_name: Opitz
citation:
ama: 'Bovermann K, Fleischer Y, Hüsing S, Opitz C. Künstliche Intelligenz und maschinelles
Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am
Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen. In: Humbert
L, ed. 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021. Vol P-313. LNI. Gesellschaft für Informatik, Bonn; 2021:319.
doi:10.18420/infos2021\_w283'
apa: 'Bovermann, K., Fleischer, Y., Hüsing, S., & Opitz, C. (2021). Künstliche
Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter
Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen
Netzen. In L. Humbert (Ed.), 19. GI-Fachtagung Informatik und Schule, INFOS
2021, Wuppertal, Germany, September 8-10, 2021: Vol. P-313 (p. 319). Gesellschaft
für Informatik, Bonn. https://doi.org/10.18420/infos2021\_w283'
bibtex: '@inproceedings{Bovermann_Fleischer_Hüsing_Opitz_2021, series={LNI}, title={Künstliche
Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter
Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen
Netzen}, volume={P-313}, DOI={10.18420/infos2021\_w283},
booktitle={19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021}, publisher={Gesellschaft für Informatik, Bonn}, author={Bovermann,
Klaus and Fleischer, Yannik and Hüsing, Sven and Opitz, Christian}, editor={Humbert,
Ludger}, year={2021}, pages={319}, collection={LNI} }'
chicago: Bovermann, Klaus, Yannik Fleischer, Sven Hüsing, and Christian Opitz. “Künstliche
Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter
Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen
Netzen.” In 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal,
Germany, September 8-10, 2021, edited by Ludger Humbert, P-313:319. LNI. Gesellschaft
für Informatik, Bonn, 2021. https://doi.org/10.18420/infos2021\_w283.
ieee: 'K. Bovermann, Y. Fleischer, S. Hüsing, and C. Opitz, “Künstliche Intelligenz
und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks
und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen,”
in 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021, 2021, vol. P-313, p. 319, doi: 10.18420/infos2021\_w283.'
mla: Bovermann, Klaus, et al. “Künstliche Intelligenz und maschinelles Lernen im
Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von
Entscheidungsbäumen und künstlichen neuronalen Netzen.” 19. GI-Fachtagung Informatik
und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, edited by
Ludger Humbert, vol. P-313, Gesellschaft für Informatik, Bonn, 2021, p. 319, doi:10.18420/infos2021\_w283.
short: 'K. Bovermann, Y. Fleischer, S. Hüsing, C. Opitz, in: L. Humbert (Ed.), 19.
GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September
8-10, 2021, Gesellschaft für Informatik, Bonn, 2021, p. 319.'
date_created: 2021-11-16T08:16:32Z
date_updated: 2022-01-06T06:57:40Z
department:
- _id: '67'
doi: 10.18420/infos2021\_w283
editor:
- first_name: Ludger
full_name: Humbert, Ludger
last_name: Humbert
language:
- iso: ger
page: '319'
publication: 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021
publisher: Gesellschaft für Informatik, Bonn
series_title: LNI
status: public
title: Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der
Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und
künstlichen neuronalen Netzen
type: conference
user_id: '21145'
volume: P-313
year: '2021'
...
---
_id: '27503'
author:
- first_name: Asif
full_name: Hasnain, Asif
last_name: Hasnain
citation:
ama: Hasnain A. Automating Network Resource Allocation for Coflows with Deadlines.;
2021. doi:10.17619/UNIPB/1-1241
apa: Hasnain, A. (2021). Automating Network Resource Allocation for Coflows with
Deadlines. https://doi.org/10.17619/UNIPB/1-1241
bibtex: '@book{Hasnain_2021, title={Automating Network Resource Allocation for Coflows
with Deadlines}, DOI={10.17619/UNIPB/1-1241
}, author={Hasnain, Asif}, year={2021} }'
chicago: Hasnain, Asif. Automating Network Resource Allocation for Coflows with
Deadlines, 2021. https://doi.org/10.17619/UNIPB/1-1241
.
ieee: A. Hasnain, Automating Network Resource Allocation for Coflows with Deadlines.
2021.
mla: Hasnain, Asif. Automating Network Resource Allocation for Coflows with Deadlines.
2021, doi:10.17619/UNIPB/1-1241
.
short: A. Hasnain, Automating Network Resource Allocation for Coflows with Deadlines,
2021.
date_created: 2021-11-16T13:05:12Z
date_updated: 2022-01-06T06:57:40Z
department:
- _id: '75'
doi: '10.17619/UNIPB/1-1241 '
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
status: public
supervisor:
- first_name: Holger
full_name: Karl, Holger
last_name: Karl
title: Automating Network Resource Allocation for Coflows with Deadlines
type: dissertation
user_id: '15504'
year: '2021'
...
---
_id: '27504'
author:
- first_name: Dieter
full_name: Spath, Dieter
last_name: Spath
- first_name: Jürgen
full_name: Gausemeier, Jürgen
id: '163'
last_name: Gausemeier
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
- first_name: Johannes
full_name: Winter, Johannes
last_name: Winter
- first_name: Steffen
full_name: Steglich, Steffen
last_name: Steglich
- first_name: Marvin
full_name: Drewel, Marvin
last_name: Drewel
citation:
ama: 'Spath D, Gausemeier J, Dumitrescu R, Winter J, Steglich S, Drewel M. Digitalisation
of Society. In: Maier A, Oehmen J, Vermaas PE, eds. Handbook of Engineering
Systems Design. Springer, Cham; 2021:2-27.'
apa: Spath, D., Gausemeier, J., Dumitrescu, R., Winter, J., Steglich, S., &
Drewel, M. (2021). Digitalisation of Society. In A. Maier, J. Oehmen, & P.
E. Vermaas (Eds.), Handbook of Engineering Systems Design (pp. 2–27).
Springer, Cham.
bibtex: '@inbook{Spath_Gausemeier_Dumitrescu_Winter_Steglich_Drewel_2021, title={Digitalisation
of Society}, booktitle={ Handbook of Engineering Systems Design}, publisher={Springer,
Cham}, author={Spath, Dieter and Gausemeier, Jürgen and Dumitrescu, Roman and
Winter, Johannes and Steglich, Steffen and Drewel, Marvin}, editor={Maier, Anja
and Oehmen, Josef and Vermaas, Pieter E.}, year={2021}, pages={2–27} }'
chicago: Spath, Dieter, Jürgen Gausemeier, Roman Dumitrescu, Johannes Winter, Steffen
Steglich, and Marvin Drewel. “Digitalisation of Society.” In Handbook of Engineering
Systems Design, edited by Anja Maier, Josef Oehmen, and Pieter E. Vermaas,
2–27. Springer, Cham, 2021.
ieee: D. Spath, J. Gausemeier, R. Dumitrescu, J. Winter, S. Steglich, and M. Drewel,
“Digitalisation of Society,” in Handbook of Engineering Systems Design,
A. Maier, J. Oehmen, and P. E. Vermaas, Eds. Springer, Cham, 2021, pp. 2–27.
mla: Spath, Dieter, et al. “Digitalisation of Society.” Handbook of Engineering
Systems Design, edited by Anja Maier et al., Springer, Cham, 2021, pp. 2–27.
short: 'D. Spath, J. Gausemeier, R. Dumitrescu, J. Winter, S. Steglich, M. Drewel,
in: A. Maier, J. Oehmen, P.E. Vermaas (Eds.), Handbook of Engineering Systems
Design, Springer, Cham, 2021, pp. 2–27.'
date_created: 2021-11-16T14:09:25Z
date_updated: 2022-01-06T06:57:40Z
department:
- _id: '563'
editor:
- first_name: Anja
full_name: Maier, Anja
last_name: Maier
- first_name: Josef
full_name: Oehmen, Josef
last_name: Oehmen
- first_name: Pieter E.
full_name: Vermaas, Pieter E.
last_name: Vermaas
language:
- iso: eng
page: 2-27
publication: ' Handbook of Engineering Systems Design'
publication_status: published
publisher: Springer, Cham
status: public
title: Digitalisation of Society
type: book_chapter
user_id: '15782'
year: '2021'
...
---
_id: '27847'
alternative_title:
- Über die Bestimmung der Festigkeit der Klebeschicht in mehrschichtigen Materialien
durch Untersuchung des modalen Abstands von geführten elastischen Wellen
author:
- first_name: Yevgeniya
full_name: Lugovtsova, Yevgeniya
last_name: Lugovtsova
- first_name: Henning
full_name: Zeipert, Henning
id: '32580'
last_name: Zeipert
- first_name: Sarah
full_name: Johannesmann, Sarah
id: '29190'
last_name: Johannesmann
- first_name: Marcel
full_name: Nicolai, Marcel
last_name: Nicolai
- first_name: Jens
full_name: Prager, Jens
last_name: Prager
- first_name: Bernd
full_name: Henning, Bernd
id: '213'
last_name: Henning
citation:
ama: 'Lugovtsova Y, Zeipert H, Johannesmann S, Nicolai M, Prager J, Henning B. К
ОПРЕДЕЛЕНИЮ ПРОЧНОСТИ КЛЕЕВОГО СОЕДИНЕНИЯ В МНОГОСЛОЙНЫХ МАТЕРИАЛАХ ПУТЕМ ИССЛЕДОВАНИЯ
ОБЛАСТЕЙ РАСТАЛКИВАНИЯ БЕГУЩИХ УПРУГИХ ВОЛН. In: МАТЕМАТИЧЕСКОЕ МОДЕЛИРОВАНИЕ
В ЕСТЕСТВЕННЫХ НАУКАХ - XXX Всероссийская Школа-Конференция. ; 2021.'
apa: Lugovtsova, Y., Zeipert, H., Johannesmann, S., Nicolai, M., Prager, J., &
Henning, B. (2021). К ОПРЕДЕЛЕНИЮ ПРОЧНОСТИ КЛЕЕВОГО СОЕДИНЕНИЯ В МНОГОСЛОЙНЫХ
МАТЕРИАЛАХ ПУТЕМ ИССЛЕДОВАНИЯ ОБЛАСТЕЙ РАСТАЛКИВАНИЯ БЕГУЩИХ УПРУГИХ ВОЛН. МАТЕМАТИЧЕСКОЕ
МОДЕЛИРОВАНИЕ В ЕСТЕСТВЕННЫХ НАУКАХ - XXX Всероссийская Школа-Конференция.
МАТЕМАТИЧЕСКОЕ МОДЕЛИРОВАНИЕ В ЕСТЕСТВЕННЫХ НАУКАХ - XXX Всероссийская школа-конференция,
Perm.
bibtex: '@inproceedings{Lugovtsova_Zeipert_Johannesmann_Nicolai_Prager_Henning_2021,
place={Perm}, title={К ОПРЕДЕЛЕНИЮ ПРОЧНОСТИ КЛЕЕВОГО СОЕДИНЕНИЯ В МНОГОСЛОЙНЫХ
МАТЕРИАЛАХ ПУТЕМ ИССЛЕДОВАНИЯ ОБЛАСТЕЙ РАСТАЛКИВАНИЯ БЕГУЩИХ УПРУГИХ ВОЛН}, booktitle={МАТЕМАТИЧЕСКОЕ
МОДЕЛИРОВАНИЕ В ЕСТЕСТВЕННЫХ НАУКАХ - XXX Всероссийская школа-конференция}, author={Lugovtsova,
Yevgeniya and Zeipert, Henning and Johannesmann, Sarah and Nicolai, Marcel and
Prager, Jens and Henning, Bernd}, year={2021} }'
chicago: Lugovtsova, Yevgeniya, Henning Zeipert, Sarah Johannesmann, Marcel Nicolai,
Jens Prager, and Bernd Henning. “К ОПРЕДЕЛЕНИЮ ПРОЧНОСТИ КЛЕЕВОГО СОЕДИНЕНИЯ В
МНОГОСЛОЙНЫХ МАТЕРИАЛАХ ПУТЕМ ИССЛЕДОВАНИЯ ОБЛАСТЕЙ РАСТАЛКИВАНИЯ БЕГУЩИХ УПРУГИХ
ВОЛН.” In МАТЕМАТИЧЕСКОЕ МОДЕЛИРОВАНИЕ В ЕСТЕСТВЕННЫХ НАУКАХ - XXX Всероссийская
Школа-Конференция. Perm, 2021.
ieee: Y. Lugovtsova, H. Zeipert, S. Johannesmann, M. Nicolai, J. Prager, and B.
Henning, “К ОПРЕДЕЛЕНИЮ ПРОЧНОСТИ КЛЕЕВОГО СОЕДИНЕНИЯ В МНОГОСЛОЙНЫХ МАТЕРИАЛАХ
ПУТЕМ ИССЛЕДОВАНИЯ ОБЛАСТЕЙ РАСТАЛКИВАНИЯ БЕГУЩИХ УПРУГИХ ВОЛН,” presented at
the МАТЕМАТИЧЕСКОЕ МОДЕЛИРОВАНИЕ В ЕСТЕСТВЕННЫХ НАУКАХ - XXX Всероссийская школа-конференция,
Perm, 2021.
mla: Lugovtsova, Yevgeniya, et al. “К ОПРЕДЕЛЕНИЮ ПРОЧНОСТИ КЛЕЕВОГО СОЕДИНЕНИЯ
В МНОГОСЛОЙНЫХ МАТЕРИАЛАХ ПУТЕМ ИССЛЕДОВАНИЯ ОБЛАСТЕЙ РАСТАЛКИВАНИЯ БЕГУЩИХ УПРУГИХ
ВОЛН.” МАТЕМАТИЧЕСКОЕ МОДЕЛИРОВАНИЕ В ЕСТЕСТВЕННЫХ НАУКАХ - XXX Всероссийская
Школа-Конференция, 2021.
short: 'Y. Lugovtsova, H. Zeipert, S. Johannesmann, M. Nicolai, J. Prager, B. Henning,
in: МАТЕМАТИЧЕСКОЕ МОДЕЛИРОВАНИЕ В ЕСТЕСТВЕННЫХ НАУКАХ - XXX Всероссийская Школа-Конференция,
Perm, 2021.'
conference:
end_date: 2021-10-09
location: Perm
name: МАТЕМАТИЧЕСКОЕ МОДЕЛИРОВАНИЕ В ЕСТЕСТВЕННЫХ НАУКАХ - XXX Всероссийская школа-конференция
start_date: 2021-10-06
date_created: 2021-11-25T14:58:13Z
date_updated: 2022-01-06T06:57:47Z
ddc:
- '620'
department:
- _id: '49'
file:
- access_level: open_access
content_type: application/pdf
creator: leanderc
date_created: 2021-11-25T14:57:25Z
date_updated: 2021-11-26T07:53:21Z
file_id: '27848'
file_name: Paper - Mode Repulsion - 2021 MMEN (Perm).pdf
file_size: 450749
relation: main_file
file_date_updated: 2021-11-26T07:53:21Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
place: Perm
project:
- _id: '105'
grant_number: '449607253'
name: Vermiedene Kreuzungen von Lamb-Wellenmoden in mehrlagigen Strukturen
publication: МАТЕМАТИЧЕСКОЕ МОДЕЛИРОВАНИЕ В ЕСТЕСТВЕННЫХ НАУКАХ - XXX Всероссийская
школа-конференция
status: public
title: К ОПРЕДЕЛЕНИЮ ПРОЧНОСТИ КЛЕЕВОГО СОЕДИНЕНИЯ В МНОГОСЛОЙНЫХ МАТЕРИАЛАХ ПУТЕМ
ИССЛЕДОВАНИЯ ОБЛАСТЕЙ РАСТАЛКИВАНИЯ БЕГУЩИХ УПРУГИХ ВОЛН
type: conference
user_id: '11829'
year: '2021'
...
---
_id: '21004'
abstract:
- lang: eng
text: 'Automated machine learning (AutoML) supports the algorithmic construction
and data-specific customization of machine learning pipelines, including the selection,
combination, and parametrization of machine learning algorithms as main constituents.
Generally speaking, AutoML approaches comprise two major components: a search
space model and an optimizer for traversing the space. Recent approaches have
shown impressive results in the realm of supervised learning, most notably (single-label)
classification (SLC). Moreover, first attempts at extending these approaches towards
multi-label classification (MLC) have been made. While the space of candidate
pipelines is already huge in SLC, the complexity of the search space is raised
to an even higher power in MLC. One may wonder, therefore, whether and to what
extent optimizers established for SLC can scale to this increased complexity,
and how they compare to each other. This paper makes the following contributions:
First, we survey existing approaches to AutoML for MLC. Second, we augment these
approaches with optimizers not previously tried for MLC. Third, we propose a benchmarking
framework that supports a fair and systematic comparison. Fourth, we conduct an
extensive experimental study, evaluating the methods on a suite of MLC problems.
We find a grammar-based best-first search to compare favorably to other optimizers.'
author:
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Wever MD, Tornede A, Mohr F, Hüllermeier E. AutoML for Multi-Label Classification:
Overview and Empirical Evaluation. IEEE Transactions on Pattern Analysis and
Machine Intelligence. Published online 2021:1-1. doi:10.1109/tpami.2021.3051276'
apa: 'Wever, M. D., Tornede, A., Mohr, F., & Hüllermeier, E. (2021). AutoML
for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Transactions
on Pattern Analysis and Machine Intelligence, 1–1. https://doi.org/10.1109/tpami.2021.3051276'
bibtex: '@article{Wever_Tornede_Mohr_Hüllermeier_2021, title={AutoML for Multi-Label
Classification: Overview and Empirical Evaluation}, DOI={10.1109/tpami.2021.3051276},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, author={Wever,
Marcel Dominik and Tornede, Alexander and Mohr, Felix and Hüllermeier, Eyke},
year={2021}, pages={1–1} }'
chicago: 'Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier.
“AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” IEEE
Transactions on Pattern Analysis and Machine Intelligence, 2021, 1–1. https://doi.org/10.1109/tpami.2021.3051276.'
ieee: 'M. D. Wever, A. Tornede, F. Mohr, and E. Hüllermeier, “AutoML for Multi-Label
Classification: Overview and Empirical Evaluation,” IEEE Transactions on Pattern
Analysis and Machine Intelligence, pp. 1–1, 2021, doi: 10.1109/tpami.2021.3051276.'
mla: 'Wever, Marcel Dominik, et al. “AutoML for Multi-Label Classification: Overview
and Empirical Evaluation.” IEEE Transactions on Pattern Analysis and Machine
Intelligence, 2021, pp. 1–1, doi:10.1109/tpami.2021.3051276.'
short: M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, IEEE Transactions on Pattern
Analysis and Machine Intelligence (2021) 1–1.
date_created: 2021-01-16T14:48:13Z
date_updated: 2022-01-06T06:54:42Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
doi: 10.1109/tpami.2021.3051276
keyword:
- Automated Machine Learning
- Multi Label Classification
- Hierarchical Planning
- Bayesian Optimization
language:
- iso: eng
page: 1-1
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: IEEE Transactions on Pattern Analysis and Machine Intelligence
publication_identifier:
issn:
- 0162-8828
- 2160-9292
- 1939-3539
publication_status: published
status: public
title: 'AutoML for Multi-Label Classification: Overview and Empirical Evaluation'
type: journal_article
user_id: '5786'
year: '2021'
...
---
_id: '21005'
abstract:
- lang: eng
text: Data-parallel applications are developed using different data programming
models, e.g., MapReduce, partition/aggregate. These models represent diverse resource
requirements of application in a datacenter network, which can be represented
by the coflow abstraction. The conventional method of creating hand-crafted coflow
heuristics for admission or scheduling for different workloads is practically
infeasible. In this paper, we propose a deep reinforcement learning (DRL)-based
coflow admission scheme -- LCS -- that can learn an admission policy for a higher-level
performance objective, i.e., maximize successful coflow admissions, without manual
feature engineering. LCS is trained on a production trace, which has online coflow
arrivals. The evaluation results show that LCS is able to learn a reasonable admission
policy that admits more coflows than state-of-the-art Varys heuristic while meeting
their deadlines.
author:
- first_name: Asif
full_name: Hasnain, Asif
id: '63288'
last_name: Hasnain
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Hasnain A, Karl H. Learning Coflow Admissions. In: IEEE INFOCOM 2021 -
IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE
Communications Society. doi:10.1109/INFOCOMWKSHPS51825.2021.9484599'
apa: 'Hasnain, A., & Karl, H. (n.d.). Learning Coflow Admissions. In IEEE
INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
Vancouver BC Canada: IEEE Communications Society. https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599'
bibtex: '@inproceedings{Hasnain_Karl, title={Learning Coflow Admissions}, DOI={10.1109/INFOCOMWKSHPS51825.2021.9484599},
booktitle={IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops
(INFOCOM WKSHPS)}, publisher={IEEE Communications Society}, author={Hasnain, Asif
and Karl, Holger} }'
chicago: Hasnain, Asif, and Holger Karl. “Learning Coflow Admissions.” In IEEE
INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
IEEE Communications Society, n.d. https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599.
ieee: A. Hasnain and H. Karl, “Learning Coflow Admissions,” in IEEE INFOCOM 2021
- IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Vancouver
BC Canada.
mla: Hasnain, Asif, and Holger Karl. “Learning Coflow Admissions.” IEEE INFOCOM
2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS),
IEEE Communications Society, doi:10.1109/INFOCOMWKSHPS51825.2021.9484599.
short: 'A. Hasnain, H. Karl, in: IEEE INFOCOM 2021 - IEEE Conference on Computer
Communications Workshops (INFOCOM WKSHPS), IEEE Communications Society, n.d.'
conference:
end_date: 2021-05-13
location: Vancouver BC Canada
name: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications
start_date: 2021-05-10
date_created: 2021-01-16T18:24:19Z
date_updated: 2022-01-06T06:54:42Z
ddc:
- '000'
department:
- _id: '75'
doi: 10.1109/INFOCOMWKSHPS51825.2021.9484599
keyword:
- Coflow scheduling
- Reinforcement learning
- Deadlines
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/9484599
project:
- _id: '16'
name: SFB 901 - Subproject C4
- _id: '4'
name: SFB 901 - Project Area C
- _id: '1'
name: SFB 901
publication: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops
(INFOCOM WKSHPS)
publication_status: accepted
publisher: IEEE Communications Society
related_material:
link:
- relation: confirmation
url: https://ieeexplore.ieee.org/document/9484599
status: public
title: Learning Coflow Admissions
type: conference
user_id: '63288'
year: '2021'
...
---
_id: '21065'
abstract:
- lang: eng
text: The machine recognition of speech spoken at a distance from the microphones,
known as far-field automatic speech recognition (ASR), has received a significant
increase of attention in science and industry, which caused or was caused by an
equally significant improvement in recognition accuracy. Meanwhile it has entered
the consumer market with digital home assistants with a spoken language interface
being its most prominent application. Speech recorded at a distance is affected
by various acoustic distortions and, consequently, quite different processing
pipelines have emerged compared to ASR for close-talk speech. A signal enhancement
front-end for dereverberation, source separation and acoustic beamforming is employed
to clean up the speech, and the back-end ASR engine is robustified by multi-condition
training and adaptation. We will also describe the so-called end-to-end approach
to ASR, which is a new promising architecture that has recently been extended
to the far-field scenario. This tutorial article gives an account of the algorithms
used to enable accurate speech recognition from a distance, and it will be seen
that, although deep learning has a significant share in the technological breakthroughs,
a clever combination with traditional signal processing can lead to surprisingly
effective solutions.
author:
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Jahn
full_name: Heymann, Jahn
last_name: Heymann
- first_name: Lukas
full_name: Drude, Lukas
last_name: Drude
- first_name: Shinji
full_name: Watanabe, Shinji
last_name: Watanabe
- first_name: Marc
full_name: Delcroix, Marc
last_name: Delcroix
- first_name: Tomohiro
full_name: Nakatani, Tomohiro
last_name: Nakatani
citation:
ama: Haeb-Umbach R, Heymann J, Drude L, Watanabe S, Delcroix M, Nakatani T. Far-Field
Automatic Speech Recognition. Proceedings of the IEEE. 2021;109(2):124-148.
doi:10.1109/JPROC.2020.3018668
apa: Haeb-Umbach, R., Heymann, J., Drude, L., Watanabe, S., Delcroix, M., &
Nakatani, T. (2021). Far-Field Automatic Speech Recognition. Proceedings of
the IEEE, 109(2), 124–148. https://doi.org/10.1109/JPROC.2020.3018668
bibtex: '@article{Haeb-Umbach_Heymann_Drude_Watanabe_Delcroix_Nakatani_2021, title={Far-Field
Automatic Speech Recognition}, volume={109}, DOI={10.1109/JPROC.2020.3018668},
number={2}, journal={Proceedings of the IEEE}, author={Haeb-Umbach, Reinhold and
Heymann, Jahn and Drude, Lukas and Watanabe, Shinji and Delcroix, Marc and Nakatani,
Tomohiro}, year={2021}, pages={124–148} }'
chicago: 'Haeb-Umbach, Reinhold, Jahn Heymann, Lukas Drude, Shinji Watanabe, Marc
Delcroix, and Tomohiro Nakatani. “Far-Field Automatic Speech Recognition.” Proceedings
of the IEEE 109, no. 2 (2021): 124–48. https://doi.org/10.1109/JPROC.2020.3018668.'
ieee: R. Haeb-Umbach, J. Heymann, L. Drude, S. Watanabe, M. Delcroix, and T. Nakatani,
“Far-Field Automatic Speech Recognition,” Proceedings of the IEEE, vol.
109, no. 2, pp. 124–148, 2021.
mla: Haeb-Umbach, Reinhold, et al. “Far-Field Automatic Speech Recognition.” Proceedings
of the IEEE, vol. 109, no. 2, 2021, pp. 124–48, doi:10.1109/JPROC.2020.3018668.
short: R. Haeb-Umbach, J. Heymann, L. Drude, S. Watanabe, M. Delcroix, T. Nakatani,
Proceedings of the IEEE 109 (2021) 124–148.
date_created: 2021-01-25T08:15:27Z
date_updated: 2022-01-06T06:54:44Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.1109/JPROC.2020.3018668
file:
- access_level: open_access
content_type: application/pdf
creator: huesera
date_created: 2021-01-25T08:17:23Z
date_updated: 2021-01-25T08:17:23Z
file_id: '21066'
file_name: proceedings_2021_haebumbach_Paper.pdf
file_size: 4173988
relation: main_file
file_date_updated: 2021-01-25T08:17:23Z
has_accepted_license: '1'
intvolume: ' 109'
issue: '2'
language:
- iso: eng
oa: '1'
page: 124-148
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Proceedings of the IEEE
status: public
title: Far-Field Automatic Speech Recognition
type: journal_article
user_id: '59789'
volume: 109
year: '2021'
...
---
_id: '21067'
abstract:
- lang: eng
text: Acoustic waves in plates have proven a viable tool for testing and material
characterisation purposes. There are a multitude of options for excitation and
detection of theses waves, such as optical and piezoelectric systems. While optical
systems, with thermoelastic excitation and interferometric detection, have the
benefit of being contactless, they usually require rather complex and expensive
experimental setups. Piezoelectric systems are more easily realised but require
direct contact with the specimen and usually have a limited bandwidth, especially
in case of piezoelectric excitation. In this work, the authors compare the properties
of piezoelectric and optical detection methods for broad-band acoustic signals.
The shape (e. g. the displacement) of a propagating plate wave is given by its
frequency and wave number, allowing to investigate correlations between mode shapes
and received signal strengths. This is aided by evaluations in normalised frequency
and wavenumber space, facilitating comparisons of different specimens. Further,
the authors explore possibilities to utilise the specific properties of the detection
methods to determine acoustic material parameters.
alternative_title:
- Untersuchung von Eigenheiten piezoelektrischer Detektionsmethoden für akustische
Plattenwellen zur Materialcharakterisierung
author:
- first_name: Leander
full_name: Claes, Leander
id: '11829'
last_name: Claes
orcid: 0000-0002-4393-268X
- first_name: Hanna
full_name: Schmiegel, Hanna
last_name: Schmiegel
- first_name: Clemens
full_name: Grünsteidl, Clemens
last_name: Grünsteidl
- first_name: Sarah
full_name: Johannesmann, Sarah
id: '29190'
last_name: Johannesmann
- first_name: Manuel
full_name: Webersen, Manuel
id: '11289'
last_name: Webersen
orcid: 0000-0001-6411-4232
- first_name: Bernd
full_name: Henning, Bernd
id: '213'
last_name: Henning
citation:
ama: Claes L, Schmiegel H, Grünsteidl C, Johannesmann S, Webersen M, Henning B.
Investigating peculiarities of piezoelectric detection methods for acoustic plate
waves in material characterisation applications. tm - Technisches Messen.
2021;88(3):147-155. doi:10.1515/teme-2020-0098
apa: Claes, L., Schmiegel, H., Grünsteidl, C., Johannesmann, S., Webersen, M., &
Henning, B. (2021). Investigating peculiarities of piezoelectric detection methods
for acoustic plate waves in material characterisation applications. Tm - Technisches
Messen, 88(3), 147–155. https://doi.org/10.1515/teme-2020-0098
bibtex: '@article{Claes_Schmiegel_Grünsteidl_Johannesmann_Webersen_Henning_2021,
title={Investigating peculiarities of piezoelectric detection methods for acoustic
plate waves in material characterisation applications}, volume={88}, DOI={10.1515/teme-2020-0098},
number={3}, journal={tm - Technisches Messen}, author={Claes, Leander and Schmiegel,
Hanna and Grünsteidl, Clemens and Johannesmann, Sarah and Webersen, Manuel and
Henning, Bernd}, year={2021}, pages={147–155} }'
chicago: 'Claes, Leander, Hanna Schmiegel, Clemens Grünsteidl, Sarah Johannesmann,
Manuel Webersen, and Bernd Henning. “Investigating Peculiarities of Piezoelectric
Detection Methods for Acoustic Plate Waves in Material Characterisation Applications.”
Tm - Technisches Messen 88, no. 3 (2021): 147–55. https://doi.org/10.1515/teme-2020-0098.'
ieee: L. Claes, H. Schmiegel, C. Grünsteidl, S. Johannesmann, M. Webersen, and B.
Henning, “Investigating peculiarities of piezoelectric detection methods for acoustic
plate waves in material characterisation applications,” tm - Technisches Messen,
vol. 88, no. 3, pp. 147–155, 2021.
mla: Claes, Leander, et al. “Investigating Peculiarities of Piezoelectric Detection
Methods for Acoustic Plate Waves in Material Characterisation Applications.” Tm
- Technisches Messen, vol. 88, no. 3, 2021, pp. 147–55, doi:10.1515/teme-2020-0098.
short: L. Claes, H. Schmiegel, C. Grünsteidl, S. Johannesmann, M. Webersen, B. Henning,
Tm - Technisches Messen 88 (2021) 147–155.
date_created: 2021-01-25T09:38:58Z
date_updated: 2022-01-06T06:54:44Z
department:
- _id: '49'
doi: 10.1515/teme-2020-0098
intvolume: ' 88'
issue: '3'
language:
- iso: eng
page: 147-155
project:
- _id: '105'
grant_number: '449607253'
name: Vermiedene Kreuzungen von Lamb-Wellenmoden in mehrlagigen Strukturen
publication: tm - Technisches Messen
publication_identifier:
issn:
- 2196-7113
- 0171-8096
publication_status: published
status: public
title: Investigating peculiarities of piezoelectric detection methods for acoustic
plate waves in material characterisation applications
type: journal_article
user_id: '11829'
volume: 88
year: '2021'
...
---
_id: '21082'
author:
- first_name: Dominik
full_name: Itner, Dominik
last_name: Itner
- first_name: Hauke
full_name: Gravenkamp, Hauke
last_name: Gravenkamp
- first_name: Dmitrij
full_name: Dreiling, Dmitrij
id: '32616'
last_name: Dreiling
- first_name: Nadine
full_name: Feldmann, Nadine
id: '23082'
last_name: Feldmann
- first_name: Bernd
full_name: Henning, Bernd
id: '213'
last_name: Henning
citation:
ama: Itner D, Gravenkamp H, Dreiling D, Feldmann N, Henning B. Simulation of guided
waves in cylinders subject to arbitrary boundary conditions for applications in
material characterization. PAMM. 2021. doi:10.1002/pamm.202000232
apa: Itner, D., Gravenkamp, H., Dreiling, D., Feldmann, N., & Henning, B. (2021).
Simulation of guided waves in cylinders subject to arbitrary boundary conditions
for applications in material characterization. PAMM. https://doi.org/10.1002/pamm.202000232
bibtex: '@article{Itner_Gravenkamp_Dreiling_Feldmann_Henning_2021, title={Simulation
of guided waves in cylinders subject to arbitrary boundary conditions for applications
in material characterization}, DOI={10.1002/pamm.202000232},
journal={PAMM}, author={Itner, Dominik and Gravenkamp, Hauke and Dreiling, Dmitrij
and Feldmann, Nadine and Henning, Bernd}, year={2021} }'
chicago: Itner, Dominik, Hauke Gravenkamp, Dmitrij Dreiling, Nadine Feldmann, and
Bernd Henning. “Simulation of Guided Waves in Cylinders Subject to Arbitrary Boundary
Conditions for Applications in Material Characterization.” PAMM, 2021.
https://doi.org/10.1002/pamm.202000232.
ieee: D. Itner, H. Gravenkamp, D. Dreiling, N. Feldmann, and B. Henning, “Simulation
of guided waves in cylinders subject to arbitrary boundary conditions for applications
in material characterization,” PAMM, 2021.
mla: Itner, Dominik, et al. “Simulation of Guided Waves in Cylinders Subject to
Arbitrary Boundary Conditions for Applications in Material Characterization.”
PAMM, 2021, doi:10.1002/pamm.202000232.
short: D. Itner, H. Gravenkamp, D. Dreiling, N. Feldmann, B. Henning, PAMM (2021).
date_created: 2021-01-26T13:52:47Z
date_updated: 2022-01-06T06:54:44Z
department:
- _id: '49'
doi: 10.1002/pamm.202000232
language:
- iso: eng
project:
- _id: '89'
grant_number: '409779252'
name: Vollständige Bestimmung der akustischen Materialparameter von Polymeren
publication: PAMM
publication_identifier:
issn:
- 1617-7061
- 1617-7061
publication_status: published
status: public
title: Simulation of guided waves in cylinders subject to arbitrary boundary conditions
for applications in material characterization
type: journal_article
user_id: '23082'
year: '2021'
...
---
_id: '21084'
author:
- first_name: Julian
full_name: Werthmann, Julian
id: '50024'
last_name: Werthmann
citation:
ama: Werthmann J. Derandomization and Local Graph Problems in the Node-Capacitated
Clique.; 2021.
apa: Werthmann, J. (2021). Derandomization and Local Graph Problems in the Node-Capacitated
Clique.
bibtex: '@book{Werthmann_2021, title={Derandomization and Local Graph Problems in
the Node-Capacitated Clique}, author={Werthmann, Julian}, year={2021} }'
chicago: Werthmann, Julian. Derandomization and Local Graph Problems in the Node-Capacitated
Clique, 2021.
ieee: J. Werthmann, Derandomization and Local Graph Problems in the Node-Capacitated
Clique. 2021.
mla: Werthmann, Julian. Derandomization and Local Graph Problems in the Node-Capacitated
Clique. 2021.
short: J. Werthmann, Derandomization and Local Graph Problems in the Node-Capacitated
Clique, 2021.
date_created: 2021-01-26T13:58:14Z
date_updated: 2022-01-06T06:54:44Z
department:
- _id: '79'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
- _id: '5'
name: SFB 901 - Subproject A1
status: public
supervisor:
- first_name: Christian
full_name: Scheideler, Christian
id: '20792'
last_name: Scheideler
title: Derandomization and Local Graph Problems in the Node-Capacitated Clique
type: mastersthesis
user_id: '15504'
year: '2021'
...
---
_id: '21092'
abstract:
- lang: eng
text: "Automated Machine Learning (AutoML) seeks to automatically find so-called
machine learning pipelines that maximize the prediction performance when being
used to train a model on a given dataset. One of the main and yet open challenges
in AutoML is an effective use of computational resources: An AutoML process involves
the evaluation of many candidate pipelines, which are costly but often ineffective
because they are canceled due to a timeout.\r\nIn this paper, we present an approach
to predict the runtime of two-step machine learning pipelines with up to one pre-processor,
which can be used to anticipate whether or not a pipeline will time out. Separate
runtime models are trained offline for each algorithm that may be used in a pipeline,
and an overall prediction is derived from these models. We empirically show that
the approach increases successful evaluations made by an AutoML tool while preserving
or even improving on the previously best solutions."
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Mohr F, Wever MD, Tornede A, Hüllermeier E. Predicting Machine Learning Pipeline
Runtimes in the Context of Automated Machine Learning. IEEE Transactions on
Pattern Analysis and Machine Intelligence.
apa: Mohr, F., Wever, M. D., Tornede, A., & Hüllermeier, E. (n.d.). Predicting
Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning.
IEEE Transactions on Pattern Analysis and Machine Intelligence.
bibtex: '@article{Mohr_Wever_Tornede_Hüllermeier, title={Predicting Machine Learning
Pipeline Runtimes in the Context of Automated Machine Learning}, journal={IEEE
Transactions on Pattern Analysis and Machine Intelligence}, publisher={IEEE},
author={Mohr, Felix and Wever, Marcel Dominik and Tornede, Alexander and Hüllermeier,
Eyke} }'
chicago: Mohr, Felix, Marcel Dominik Wever, Alexander Tornede, and Eyke Hüllermeier.
“Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine
Learning.” IEEE Transactions on Pattern Analysis and Machine Intelligence,
n.d.
ieee: F. Mohr, M. D. Wever, A. Tornede, and E. Hüllermeier, “Predicting Machine
Learning Pipeline Runtimes in the Context of Automated Machine Learning,” IEEE
Transactions on Pattern Analysis and Machine Intelligence.
mla: Mohr, Felix, et al. “Predicting Machine Learning Pipeline Runtimes in the Context
of Automated Machine Learning.” IEEE Transactions on Pattern Analysis and Machine
Intelligence, IEEE.
short: F. Mohr, M.D. Wever, A. Tornede, E. Hüllermeier, IEEE Transactions on Pattern
Analysis and Machine Intelligence (n.d.).
date_created: 2021-01-27T13:45:52Z
date_updated: 2022-01-06T06:54:45Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: IEEE Transactions on Pattern Analysis and Machine Intelligence
publication_status: accepted
publisher: IEEE
status: public
title: Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine
Learning
type: journal_article
user_id: '5786'
year: '2021'
...
---
_id: '21183'
abstract:
- lang: ger
text: Die präzise Kenntnis der Eigenschaften verwendeter Materialien hat große Bedeutung
für den Entwurf technischer Systeme aller Art, aber auch für die Überwachung solcher
Systeme im Betrieb. Für verschiedene physikalische Eigenschaften, Betriebsbedingungen
und Materialklassen werden daher geeignete messtechnische Verfahren zur Materialcharakterisierung
benötigt. In der vorliegenden Arbeit wird ein Verfahren zur ultraschallbasierten
Charakterisierung der mechanischen Eigenschaften von homogenen und faserverstärkten
thermoplastischen Polymeren unter Berücksichtigung der Richtungsabhängigkeit vorgestellt.
Plattenförmige Probekörper werden dazu mittels Laser-Pulsen hoher Energie breitbandig
angeregt und die resultierenden akustischen Lamb-Wellen aufgezeichnet. Auf Basis
der dispersiven Eigenschaften der detektierten Wellenleitermoden werden in einem
inversen Verfahren die Parameter eines linear-elastischen Materialmodells identifiziert.
Darüber hinaus wird ein Verfahren zur vollständigen Charakterisierung der Richtungsabhängigkeit
in orthotropen Materialien wie Faserverbundwerkstoffen unter Verwendung eines
zweidimensionalen Simulationsmodells vorgestellt. Das Messverfahren wird anhand
einer Untersuchungsreihe an künstlich gealterten Polymer- und Faserverbundwerkstoffen
verifiziert und die Übertragbarkeit der Ergebnisse auf den quasistatischen Fall
betrachtet. Im Vergleich mit den Ergebnissen mechanischer Zugversuche werden die
Voraussetzungen und Einschränkungen, insbesondere durch die Annahme eines ideal-elastischen
Materialmodells, diskutiert.
- lang: eng
text: Precise knowledge of material properties is a great concern in the design
of technical systems, and in the monitoring of such systems during operation.
Therefore, metrological processes are required for materials characterisation
with respect to specific physical properties, operational conditions and classes
of materials. In the work presented herein, a measurement procedure for the ultrasonic
characterization of mechanical properties of homogeneous and fiber-reinforced
thermoplastic polymer materials is presented, considering the different degrees
of anisotropy. For this, acoustic Lamb waves are excited in a plate-shaped specimen
using high-energy laser pulses, and then recorded.Based on the dispersive characteristics
of the detected waveguide modes, an inverse procedure is applied to identify the
parameters of a linear-elastic material model. Further, a procedure for completely
characterising the orthotropy of materials like fiber-reinforced composites using
a two-dimensional simulation model is presented. The measurement procedure is
verified by examining artificially aged homogeneous polymers and composites, also
considering the applicability of results to the quasistatic case. Comparing to
the results of corresponding mechanical tensile tests, preconditions and limitations
of the procedure are discussed, specifically regarding the assumption of an ideal-elastic
material model.
author:
- first_name: Manuel
full_name: Webersen, Manuel
id: '11289'
last_name: Webersen
orcid: 0000-0001-6411-4232
citation:
ama: Webersen M. Zerstörungsfreie Charakterisierung der elastischen Materialeigenschaften
thermoplastischer Polymerwerkstoffe mittels Ultraschall. Universitätsbibliothek
Paderborn; 2021. doi:10.17619/UNIPB/1-1088
apa: Webersen, M. (2021). Zerstörungsfreie Charakterisierung der elastischen
Materialeigenschaften thermoplastischer Polymerwerkstoffe mittels Ultraschall.
Universitätsbibliothek Paderborn. https://doi.org/10.17619/UNIPB/1-1088
bibtex: '@book{Webersen_2021, title={Zerstörungsfreie Charakterisierung der elastischen
Materialeigenschaften thermoplastischer Polymerwerkstoffe mittels Ultraschall},
DOI={10.17619/UNIPB/1-1088},
publisher={Universitätsbibliothek Paderborn}, author={Webersen, Manuel}, year={2021}
}'
chicago: Webersen, Manuel. Zerstörungsfreie Charakterisierung der elastischen
Materialeigenschaften thermoplastischer Polymerwerkstoffe mittels Ultraschall.
Universitätsbibliothek Paderborn, 2021. https://doi.org/10.17619/UNIPB/1-1088.
ieee: M. Webersen, Zerstörungsfreie Charakterisierung der elastischen Materialeigenschaften
thermoplastischer Polymerwerkstoffe mittels Ultraschall. Universitätsbibliothek
Paderborn, 2021.
mla: Webersen, Manuel. Zerstörungsfreie Charakterisierung der elastischen Materialeigenschaften
thermoplastischer Polymerwerkstoffe mittels Ultraschall. Universitätsbibliothek
Paderborn, 2021, doi:10.17619/UNIPB/1-1088.
short: M. Webersen, Zerstörungsfreie Charakterisierung der elastischen Materialeigenschaften
thermoplastischer Polymerwerkstoffe mittels Ultraschall, Universitätsbibliothek
Paderborn, 2021.
date_created: 2021-02-05T11:47:28Z
date_updated: 2022-01-06T06:54:49Z
department:
- _id: '49'
doi: 10.17619/UNIPB/1-1088
language:
- iso: ger
publication_status: published
publisher: Universitätsbibliothek Paderborn
status: public
title: Zerstörungsfreie Charakterisierung der elastischen Materialeigenschaften thermoplastischer
Polymerwerkstoffe mittels Ultraschall
type: dissertation
user_id: '11289'
year: '2021'
...
---
_id: '21195'
author:
- first_name: Christian
full_name: Goelz, Christian
last_name: Goelz
- first_name: Karin
full_name: Mora, Karin
last_name: Mora
- first_name: Julia Kristin
full_name: Stroehlein, Julia Kristin
last_name: Stroehlein
- first_name: Franziska Katharina
full_name: Haase, Franziska Katharina
last_name: Haase
- first_name: Michael
full_name: Dellnitz, Michael
last_name: Dellnitz
- first_name: Claus
full_name: Reinsberger, Claus
last_name: Reinsberger
- first_name: Solveig
full_name: Vieluf, Solveig
last_name: Vieluf
citation:
ama: Goelz C, Mora K, Stroehlein JK, et al. Electrophysiological signatures of dedifferentiation
differ between fit and less fit older adults. Cognitive Neurodynamics.
2021. doi:10.1007/s11571-020-09656-9
apa: Goelz, C., Mora, K., Stroehlein, J. K., Haase, F. K., Dellnitz, M., Reinsberger,
C., & Vieluf, S. (2021). Electrophysiological signatures of dedifferentiation
differ between fit and less fit older adults. Cognitive Neurodynamics.
https://doi.org/10.1007/s11571-020-09656-9
bibtex: '@article{Goelz_Mora_Stroehlein_Haase_Dellnitz_Reinsberger_Vieluf_2021,
title={Electrophysiological signatures of dedifferentiation differ between fit
and less fit older adults}, DOI={10.1007/s11571-020-09656-9},
journal={Cognitive Neurodynamics}, author={Goelz, Christian and Mora, Karin and
Stroehlein, Julia Kristin and Haase, Franziska Katharina and Dellnitz, Michael
and Reinsberger, Claus and Vieluf, Solveig}, year={2021} }'
chicago: Goelz, Christian, Karin Mora, Julia Kristin Stroehlein, Franziska Katharina
Haase, Michael Dellnitz, Claus Reinsberger, and Solveig Vieluf. “Electrophysiological
Signatures of Dedifferentiation Differ between Fit and Less Fit Older Adults.”
Cognitive Neurodynamics, 2021. https://doi.org/10.1007/s11571-020-09656-9.
ieee: C. Goelz et al., “Electrophysiological signatures of dedifferentiation
differ between fit and less fit older adults,” Cognitive Neurodynamics,
2021.
mla: Goelz, Christian, et al. “Electrophysiological Signatures of Dedifferentiation
Differ between Fit and Less Fit Older Adults.” Cognitive Neurodynamics,
2021, doi:10.1007/s11571-020-09656-9.
short: C. Goelz, K. Mora, J.K. Stroehlein, F.K. Haase, M. Dellnitz, C. Reinsberger,
S. Vieluf, Cognitive Neurodynamics (2021).
date_created: 2021-02-08T13:16:07Z
date_updated: 2022-01-06T06:54:49Z
department:
- _id: '101'
doi: 10.1007/s11571-020-09656-9
language:
- iso: eng
main_file_link:
- url: https://link.springer.com/content/pdf/10.1007/s11571-020-09656-9.pdf
publication: Cognitive Neurodynamics
status: public
title: Electrophysiological signatures of dedifferentiation differ between fit and
less fit older adults
type: journal_article
user_id: '32643'
year: '2021'
...
---
_id: '21197'
author:
- first_name: Ma
full_name: Mengshi, Ma
last_name: Mengshi
citation:
ama: Mengshi M. Self-Stabilizing Arrow Protocol on Spanning Trees with a Low
Diameter.; 2021.
apa: Mengshi, M. (2021). Self-stabilizing Arrow Protocol on Spanning Trees with
a Low Diameter.
bibtex: '@book{Mengshi_2021, title={Self-stabilizing Arrow Protocol on Spanning
Trees with a Low Diameter}, author={Mengshi, Ma}, year={2021} }'
chicago: Mengshi, Ma. Self-Stabilizing Arrow Protocol on Spanning Trees with
a Low Diameter, 2021.
ieee: M. Mengshi, Self-stabilizing Arrow Protocol on Spanning Trees with a Low
Diameter. 2021.
mla: Mengshi, Ma. Self-Stabilizing Arrow Protocol on Spanning Trees with a Low
Diameter. 2021.
short: M. Mengshi, Self-Stabilizing Arrow Protocol on Spanning Trees with a Low
Diameter, 2021.
date_created: 2021-02-09T07:09:22Z
date_updated: 2022-01-06T06:54:49Z
department:
- _id: '79'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
- _id: '4'
name: SFB 901 - Project Area C
- _id: '5'
name: SFB 901 - Subproject A1
- _id: '13'
name: SFB 901 - Subproject C1
status: public
supervisor:
- first_name: Christian
full_name: Scheideler, Christian
id: '20792'
last_name: Scheideler
title: Self-stabilizing Arrow Protocol on Spanning Trees with a Low Diameter
type: bachelorsthesis
user_id: '15504'
year: '2021'
...
---
_id: '21337'
abstract:
- lang: eng
text: "We present a flexible trust region descend algorithm for unconstrained and\r\nconvexly
constrained multiobjective optimization problems. It is targeted at\r\nheterogeneous
and expensive problems, i.e., problems that have at least one\r\nobjective function
that is computationally expensive. The method is\r\nderivative-free in the sense
that neither need derivative information be\r\navailable for the expensive objectives
nor are gradients approximated using\r\nrepeated function evaluations as is the
case in finite-difference methods.\r\nInstead, a multiobjective trust region approach
is used that works similarly to\r\nits well-known scalar pendants. Local surrogate
models constructed from\r\nevaluation data of the true objective functions are
employed to compute\r\npossible descent directions. In contrast to existing multiobjective
trust\r\nregion algorithms, these surrogates are not polynomial but carefully\r\nconstructed
radial basis function networks. This has the important advantage\r\nthat the number
of data points scales linearly with the parameter space\r\ndimension. The local
models qualify as fully linear and the corresponding\r\ngeneral scalar framework
is adapted for problems with multiple objectives.\r\nConvergence to Pareto critical
points is proven and numerical examples\r\nillustrate our findings."
article_number: '31'
author:
- first_name: Manuel Bastian
full_name: Berkemeier, Manuel Bastian
id: '51701'
last_name: Berkemeier
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
citation:
ama: Berkemeier MB, Peitz S. Derivative-Free Multiobjective Trust Region Descent
Method Using Radial Basis Function Surrogate Models. Mathematical and Computational
Applications. 2021;26(2). doi:10.3390/mca26020031
apa: Berkemeier, M. B., & Peitz, S. (2021). Derivative-Free Multiobjective Trust
Region Descent Method Using Radial Basis Function Surrogate Models. Mathematical
and Computational Applications, 26(2). https://doi.org/10.3390/mca26020031
bibtex: '@article{Berkemeier_Peitz_2021, title={Derivative-Free Multiobjective Trust
Region Descent Method Using Radial Basis Function Surrogate Models}, volume={26},
DOI={10.3390/mca26020031}, number={231},
journal={Mathematical and Computational Applications}, author={Berkemeier, Manuel
Bastian and Peitz, Sebastian}, year={2021} }'
chicago: Berkemeier, Manuel Bastian, and Sebastian Peitz. “Derivative-Free Multiobjective
Trust Region Descent Method Using Radial Basis Function Surrogate Models.” Mathematical
and Computational Applications 26, no. 2 (2021). https://doi.org/10.3390/mca26020031.
ieee: M. B. Berkemeier and S. Peitz, “Derivative-Free Multiobjective Trust Region
Descent Method Using Radial Basis Function Surrogate Models,” Mathematical
and Computational Applications, vol. 26, no. 2, 2021.
mla: Berkemeier, Manuel Bastian, and Sebastian Peitz. “Derivative-Free Multiobjective
Trust Region Descent Method Using Radial Basis Function Surrogate Models.” Mathematical
and Computational Applications, vol. 26, no. 2, 31, 2021, doi:10.3390/mca26020031.
short: M.B. Berkemeier, S. Peitz, Mathematical and Computational Applications 26
(2021).
date_created: 2021-03-01T10:46:48Z
date_updated: 2022-01-06T06:54:55Z
department:
- _id: '101'
- _id: '655'
doi: 10.3390/mca26020031
intvolume: ' 26'
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/2297-8747/26/2/31/pdf
oa: '1'
publication: Mathematical and Computational Applications
publication_identifier:
eissn:
- 2297-8747
publication_status: published
status: public
title: Derivative-Free Multiobjective Trust Region Descent Method Using Radial Basis
Function Surrogate Models
type: journal_article
user_id: '47427'
volume: 26
year: '2021'
...