Design of DPSS based fiber bragg gratings and their application in all-optical encryption, OCDMA, optical steganography, and orthogonal-division multiplexing IB Djordjevic, AH Saleh, F Küppers Optics express 22 (9), 10882-10897, 2014 | 48 | 2014 |
Frequency invariant transformation of periodic signals (FIT-PS) for classification in NILM P Held, S Mauch, A Saleh, DO Abdeslam, D Benyoucef IEEE Transactions on Smart Grid 10 (5), 5556-5563, 2018 | 27 | 2018 |
Held1: Home equipment laboratory dataset for non-intrusive load monitoring P Held, S Mauch, A Saleh, DO Abdeslam The Third International Conference on Advances in Signal, Image and Video …, 2018 | 20 | 2018 |
Proactive error prevention in manufacturing based on an adaptable machine learning environment H Ziekow, U Schreier, A Saleh, C Rudolph, K Ketterer, D Grozinger, ... From Research to Application 113, 2019 | 12 | 2019 |
A Reference Process Model for Machine Learning Aided Production Quality Management A Gerling, U Schreier, A Hess, A Saleh, H Ziekow, D Ould Abdeslam 22nd International Conference on Enterprise Information Systems (ICEIS), 2020 | 10 | 2020 |
EMD inspired filtering algorithm for signal analysis in the context of non intrusive load monitoring A Saleh, P Held, D Benyoucef, DO Abdeslam IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society …, 2017 | 6 | 2017 |
Frequency invariant transformation of periodic signals (FIT-PS) for high frequency signal representation in NILM P Held, A Saleh, DA Ould, D Benyoucef 3rd Baden-Württemberg Center of Applied Research Symposium on Information …, 2016 | 6 | 2016 |
A novel procedure for virtual measurements generation suitable for training and testing in the context of non intrusive load monitoring A Saleh, P Held, D Benyoucef, DO Abdeslam The Third International Conference on Advances in Signal, Image and Video …, 2018 | 5 | 2018 |
Interpretable Machine Learning for Quality Engineering in Manufacturing-Importance Measures that Reveal Insights on Errors H Ziekow, U Schreier, A Gerling, A Saleh The Upper-Rhine Artificial Intelligence Symposium, UR-AI 2021, Artificial …, 2021 | 3 | 2021 |
Technical Report: Interpretable machine learning for quality engineering in manufacturing-Importance measures that reveal insights on errors H Ziekow, U Schreier, A Gerling, A Saleh | 3 | 2019 |
Exploring the practicality of Huang-Hilbert transform for NILM feature extraction A Saleh, D Benyoucef, DO Abdeslam 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE), 857-861, 2020 | 1 | 2020 |
Supporting Quality Assessment in Manufacturing by Machine Learning: First Results of PREFERML Project A Gerling, A Saleh, U Schreier, H Ziekow Artificial Intelligence-Research Impact on Key Industries: The Upper-Rhine …, 2020 | | 2020 |
Signal Processing Techniques for Disaggregation of smart-meter energy Data A Saleh Université de Haute Alsace-Mulhouse, 2019 | | 2019 |