School of Engineering and Computer Science > Intelligente industrielle Systeme (I3S) > I3S / Prozessoptimierung in der Fertigung

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Number of items at this level: 11.

Kravchyk, Kostiantyn V.; Battaglia, Corsin; Siller, Valerie; Lelotte, Barthélémy; El Kazzi, Mario; Morzy, Jedrzej; Futscher, Moritz; Romanyuk, Yaroslav; Stalder, Michael; Fuerst, Axel; Kovalenko, Maksym (2024). Building Solid-State Batteries: Insights from Swiss Research Labs CHIMIA International Journal for Chemistry, 78(6), pp. 403-414. Schweizerische Chemische Gesellschaft 10.2533/chimia.2024.403

Fuerst, Axel; Walther, Simon (20 May 2024). Hybrid Machine Learning – When Little Data is Available In: 10th Annual World Congress of Advanced Materials WCAM-2024 Japan. Osaka, Japan. May.21-24 2024.

Pires Da Veiga, Leonardo; Sharad Bhoir, Shubam; Brüllmann, Dominic; Malburet, Samuel; Müller, Simon; Stalder, Micheal; Brivio, Claudio; Ingenito, Andrea (2024). Investigating the Role of a P(VDF−TrFE) Ferroelectric Separator in Li‐Metal Pouch Cells using Electrochemical Impedance Spectroscopy Batteries & Supercaps, 7(4), pp. 1-8. Wiley 10.1002/batt.202300591

Zhang Sprenger, Congyu; Corrales Ramón, Juan Antonio; Baier, Norman Urs (2023). RTMN 2.0: An Extension of Robot Task Modeling and Notation (RTMN) Focused on Human–Robot Collaboration Applied Sciences, 14(1), p. 283. MDPI 10.3390/app14010283

Zhang Sprenger, Congyu; Ribeaud, Thomas (11 December 2022). Robotic Process Automation with Ontology-enabled Skill-based Robot Task Model and Notation (RTMN) In: 2nd IEEE International Conference on Robotics, Automation and Artificial Intelligence (RAAI 2022). Singapur. Dec 9, 2022 - Dec 11, 2022.

Walther, Simon; Müller, Simon; Fuerst, Axel; Renggli, Rolf; Unlü, Fatih (2022). Prediction of wheel-rail contact forces using simple onboard monitoring system and machine learning Journal of Rail and Rapid Transit, 237(5), pp. 553-562. Institution of Mechanical Engineers 10.1177/09544097221122006

Ribeaud, Thomas; Zhang Sprenger, Congyu (6 September 2022). Behavior Trees based Flexible Task Planner Built on ROS2 Framework In: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). Stuttgart. 6. - 9. September 2022. 10.1109/ETFA52439.2022.9921683

Baier, Norman Urs; Costan Zovi, Joel (2022). Flexible Robot Programming using Solid Edge’s “Alternative Assemblies” Athens Journal of Technology and Engineering, 9(1), pp. 9-24. Athens Institute for Education and Research 10.30958/ajte.9-1-1

Walther, Simon; Fuerst, Axel (2022). Reduced Data Volumes through Hybrid Machine Learning Compared to Conventional Machine Learning Demonstrated on Bearing Fault Classification Applied Sciences, 12(5), pp. 1-16. MDPI 10.3390/app12052287

Walther, Simon (25 January 2022). Reduzierter Datenbedarf durch hybrides Machine Learning In: 7. F&E KonferenzzuIndustrie 4.0. Biel. 25. Januar 2022.

Dubey, Romain; Zwahlen, Marcel-David; Shynkarenko, Yevhen; Yakunin, Sergii; Fuerst, Axel; Kovalenko, Maksym V; Kravchyk, Kostiantyn V. (2021). Laser Patterning of High‐Mass‐Loading Graphite Anodes for High‐​Performance Li‐​Ion Batteries Batteries & Supercaps, 4(3), pp. 464-468. Wiley 10.1002/batt.202000253

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