Wulf, Jochen; Meierhofer, Jürg,

2024.

Towards a taxonomy of Large Language Model based business model transformations [Paper].

In:

West, Shaun; Meierhofer, Jürg; Buecheler, Thierry, Hrsg.,

Smart Services Summit : Building Resilience in a Changing World.

Smart Services Summit, Zurich, Switzerland, 23 October 2023.

Cham:

Springer.

S. 119-131.

SMSESU 2023. Progress in IS.

Verfügbar unter: https://doi.org/10.1007/978-3-031-60313-6_9

Hofmann, Jonas; Fialová, Christina; Adlhart, Christian; Strassmann, Marc; Rimann, Markus; Röhrnbauer, Barbara,

2024.

Large-porous or nano-fibrous? – a mechanical perspective on implant materials for the pelvic floor.

In:

29th Congress of the European Society of Biomechanics (ESB), Edinburgh, Scotland, 30 June - 3 July 2024.

Hofmann, Jonas; Fialová, Christina; Adlhart, Christian; Strassmann, Marc; Rimann, Markus; Röhrnbauer, Barbara,

2024.

Micro and macromechanics of electrospun membranes under uniaxial and biaxial loading conditions [Poster].

In:

29th Congress of the European Society of Biomechanics (ESB), Edinburgh, Scotland, 30 June - 3 July 2024.

Schmid, Daniel,

2024.

Design and release process for additive manufacturing parts [Paper].

In:

Danjou, Christophe; Harik, Ramy; Nyffenegger, Felix; Rivest, Louis; Bouras, Abdelaziz, Hrsg.,

Product Lifecycle Management. Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation.

IFIP 20th International Conference on Product Lifecycle Management, Montréal, Canada, 9-12 July 2023.

Cham:

Springer.

Verfügbar unter: https://doi.org/10.1007/978-3-031-62582-4_28

Lüscher, Mila Francesca; Zgraggen, Jannik; Guo, Yuyan; Notaristefano, Antonio; Goren Huber, Lilach,

2024.

Data scarcity in fault detection for solar tracking systems : the power of physics-informed artificial intelligence [Paper].

In:

Do, Phuc; Ezhilarasu, Cordelia, Hrsg.,

Proceedings of the PHM Society European Conference 2024.

8th European Conference of the Prognostics and Health Management Society (PHME), Prague, Czech Republic, 3-5 July 2024.

PHM Society.

S. 286-293.

Verfügbar unter: https://doi.org/10.36001/phme.2024.v8i1.4059

Fathi, Kiavash; Ristin, Marko; Sadurski, Marcin; Kleinert, Tobias; van de Venn, Hans Wernher,

2024.

Detection of novel asset failures in predictive maintenance using classifier certainty [Paper].

In:

2024 32nd Mediterranean Conference on Control and Automation (MED).

32nd Mediterranean Conference on Control and Automation (MED), Chania, Greece, 11-14 June 2024.

IEEE.

S. 50-56.

Verfügbar unter: https://doi.org/10.1109/med61351.2024.10566204

Fathi, Kiavash; Corradini, Fabio; Sadurski, Marcin; Silvestri, Marco; Ristin, Marko; Laghaei, Afrooz; Valtorta, Davide; Kleinert, Tobias; van de Venn, Hans Wernher,

2024.

Domain adaptation via simulation parameter and data perturbation for predictive maintenance [Paper].

In:

Do, Phuc; Ezhilarasu, Cordelia, Hrsg.,

Proceedings of the PHM Society European Conference 2024.

8th European Conference of the Prognostics and Health Management Society (PHME), Prague, Czech Republic, 3-5 July 2024.

PHM Society.

S. 389-399.

Verfügbar unter: https://doi.org/10.36001/phme.2024.v8i1.3985

Morgese, Giulia; Mu, Linyu; Siegmann, Konstantin; Schwitzer, Alwin; Winkler, Martin,

2024.

Hydrophilic, lubricious and durable coating for medical intervention catheters.

In:

19th Coatings Science International Conference (CoSi), Noordwijk, The Netherlands, 24-27 June 2024.

Fathi, Kiavash; Kleinert, Tobias; van de Venn, Hans Wernher,

2024.

Trustworthy machine learning operations for predictive maintenance solutions [Paper].

In:

Do, Phuc; Ezhilarasu, Cordelia, Hrsg.,

Proceedings of the European Conference of the PHM Society 2024.

8th European Conference of the Prognostics and Health Management Society (PHME), Prague, Czech Republic, 3-5 July 2024.

Prognostics and Health Management Society.

S. 4.

Verfügbar unter: https://doi.org/10.36001/phme.2024.v8i1.3966

Arce, Adriana Arteaga; Filinis, Nikos; Fu, Lei; Habib, Carol; Militano, Leonardo; Spatharakis, Dimitris; Zafeiropoulos, Anastasios; Bohnert, Thomas Michael; Mitton, Nathalie; Papavassiliou, Symeon,

2024.

Virtual objects for robots and sensor nodes in distributed applications over the cloud continuum [Paper].

In:

29th IEEE Symposium on Computers and Communications (ISCC) - 4th International Workshop on Distributed Intelligent Systems (DistInSys), Paris, France, 26 June 2024.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

Verfügbar unter: https://doi.org/10.21256/zhaw-30918

Yang, Jeong‐A; Lee, Chae‐Won; Kim, Chaeyoon; Auer, Michael André; Yu, In Cheol; OH, Jungkwon; Yoon, Woojin; Yun, Hoseop; Kim, Dongwook; Jazbinsek, Mojca; Rotermund, Fabian; Kwon, O‐Pil,

2024.

Chiral cationic chromophores : a new class of efficient ultrabroadband organic THz crystals.

Advanced Optical Materials.

12(22), S. 2400343.

Verfügbar unter: https://doi.org/10.1002/adom.202400343

Mamaril, Anthony; Kolodziejczyk, Rinchen; Soussi, Wissem; Gür, Gürkan,

2024.

Exploring live payload migrations for MTD in microservices architecture [Paper].

In:

2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring).

99th Vehicular Technology Conference (VTC2024-Spring), Singapore, 24-27 June 2024.

IEEE.

Verfügbar unter: https://doi.org/10.1109/vtc2024-spring62846.2024.10683429

Anser, Yacine; Gaber, Chrystel; Wary, Jean-Philippe; Bouzefrane, Samia; Yacoub, Méziane; Kalinagac, Onur; Gür, Gürkan,

2024.

Liability and trust analysis framework for multi-actor dynamic microservices.

IEEE Transactions on Network and Service Management.

22(1), S. 58-71.

Verfügbar unter: https://doi.org/10.1109/tnsm.2024.3417934

Venturini, Francesca; Fluri, Silvan; Mejari, Manas; Baumgartner, Michael; Piga, Dario; Michelucci, Umberto,

2024.

Machine learning-enhanced fluorescence spectroscopy for the quality assessment of extra virgin olive oil during ageing [Paper].

In:

Berghmans, Francis; Zergioti, Ioanna, Hrsg.,

Optical Sensing and Detection VIII.

SPIE Photonics Europe, Strasbourg, France, 7-11 April 2024.

SPIE.

S. 129991F.

Proceedings of SPIE ; 12999.

Verfügbar unter: https://doi.org/10.1117/12.3016879

Döbrich, Oliver,

2024.

Mikroskalenmodellierung von technischen Textilien zur Vorhersage von Faserverbundeigenschaften.

In:

CADFEM Conference, Rapperswil, Switzerland, 20 June 2024.

Gucciardi, Arnaud; El Ghazouali, Safouane; Michelucci, Umberto; Venturini, Francesca,

2024.

Machine learning feature extraction for predicting the ageing of olive oil [Paper].

In:

Bocklitz, Thomas, Hrsg.,

Data Science for Photonics and Biophotonics.

SPIE Photonics Europe, Strasbourg, France, 7-11 April 2024.

SPIE.

S. 130110A.

Proceedings of SPIE ; 13011.

Verfügbar unter: https://doi.org/10.1117/12.3017680

Stingelin, Simon,

2024.

Teaching with NGSolve.

In:

NGSolve User Meeting, Vienna, Austria, 17-19 June 2024.

Verfügbar unter: https://simonstingelin.github.io/NGSUserMeeting24/intro.html

Gerber, Jonathan; Kreiner, Bruno; Saxer, Jasmin; Weiler, Andreas,

2024.

Digilog : enhancing website embedding on local governments - a comparative analysis [Paper].

In:

Appice, Annalisa; Azzag, Hanane; Hacid, Mohand-Said; Hadjali, Allel; Ras, Zbigniew, Hrsg.,

Foundations of Intelligent Systems.

27th International Symposium on Methodologies for Intelligent Systems (ISMIS), Poitiers, France, 16-19 June 2024.

Cham:

Springer.

S. 126-135.

Lecture Notes in Computer Science ; 14670.

Verfügbar unter: https://doi.org/10.1007/978-3-031-62700-2_12

Gorobetz, Mikhail; Timofejevs, Jurijs; Potapovs, Andrejs; Obusevs, Artjoms,

2024.

IoT-enabled single-camera speed sensor for smart city tasks.

Electronics.

13(12), S. 2357.

Verfügbar unter: https://doi.org/10.3390/electronics13122357

De Lorenzi, Flavio; Weinmann, Tom; Bruderer, Simon; Heitmann, Björn; Henrici, Andreas; Stingelin, Simon,

2024.

Bayesian analysis of 1D 1H-NMR spectra.

Journal of Magnetic Resonance.

364(107723).

Verfügbar unter: https://doi.org/10.1016/j.jmr.2024.107723