Sylwia Olbrych

According to our database, Sylwia Olbrych authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Application of CIGAR for collective learning between CNN-BiLSTM models in lithium-ion battery state of health prediction.

Sylwia Olbrych, Zi Xuan Tung, Sehriban Celik, Hans Aoyang Zhou, Anas Abdelrazeq, Dirk Uwe Sauer, Robert H. Schmitt

Neural Comput. Appl., June, 2026

2025

Optimizing Fairness in Production Planning: A Human-Centric Approach to Machine and Workforce Allocation.

Alexander Nasuta, Alessandro Cisi, Sylwia Olbrych, Gustavo Vieira, Rui Fernandes, Lucas Paletta, Marlene Mayr, Rishyank Chevuri, Robert Woitsch, Hans Aoyang Zhou, Anas Abdelrazeq, Robert H. Schmitt

CoRR, October, 2025

Feeling Machines: Ethics, Culture, and the Rise of Emotional AI.

Vivek Chavan, Arsen Cenaj, Shuyuan Shen, Ariane Bar, Srishti Binwani, Tommaso Del Becaro, Marius Funk, Lynn Greschner, Roberto Hung, Stina Klein, Romina Kleiner, Stefanie Krause, Sylwia Olbrych, Vishvapalsinhji Parmar, Jaleh Sarafraz, Daria Soroko, Daksitha Withanage Don, Chang Zhou, Hoang Thuy Duong Vu, Parastoo Semnani, Daniel Weinhardt, Elisabeth André, Jörg Krüger, Xavier Fresquet

CoRR, June, 2025

DeCoL-DSS: Integrating Decentralised Collaborative Machine Learning Into Decision Support System.

Sylwia Olbrych, Johanna Lauwigi, Hans Aoyang Zhou, Anas Abdelrazeq, Robert H. Schmitt

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2025, 2025

Machine Learning Lifecycle Management Using Dataspaces for Optimized Machine Parameterization in Recycled Plastic Packaging.

Alexander Nasuta, Sylwia Olbrych, Christoph Quix, Tim Kaluza, Florian Schaller, Sabrina Steinert, Hans Aoyang Zhou, Anas Abdelrazaq, Robert H. Schmitt

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2025, 2025

System Requirements for Decentralised Collaborative Machine Learning in Industry 4.0.

Sylwia Olbrych, Hans Aoyang Zhou, Anas Abdelrazeq, Robert H. Schmitt

Proceedings of the IEEE/ACM 12th International Conference on Big Data Computing, 2025

2024

Automated Anomaly Detection in Concentrated Solar Power Plants with Linear Least Squares Approximation.

Robert Jungnickel, Sylwia Olbrych, Michael Zeng, Thomas Kraft, Fabian Behrens, Aymen Gannouni, Anas Abdelrazeq, Robert H. Schmitt

Proceedings of the IEEE International Conference on Industrial Technology, 2024

Time Series Prediction for Anomalies Detection in Concentrating Solar Power Plants Using Long Short-Term Memory Networks.

Sylwia Olbrych, Robert Jungnickel, Michael Zeng, Cher Dao Tan, Marco Kemmerling, Anas Abdelrazeq, Robert H. Schmitt

Proceedings of the Deep Learning Theory and Applications, 2024

2022

A Conceptual Framework for Production Process Parameter Optimization with Modular Hybrid Simulations.

Sylwia Olbrych, Marco Kemmerling, Hans Aoyang Zhou, Daniel Lütticke, Robert H. Schmitt

Proceedings of the Software Engineering and Formal Methods. SEFM 2022 Collocated Workshops, 2022