Cyber-physical systems: foundations, principles and applications HH Song, DB Rawat, S Jeschke, C Brecher Morgan Kaufmann, 2016 | 253 | 2016 |
Localization-driven speech enhancement in noisy multi-speaker hospital environments using deep learning and meta learning M Barhoush, A Hallawa, A Peine, L Martin, A Schmeink IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 670-683, 2022 | 12 | 2022 |
Robust automatic speaker identification system using shuffled mfcc features M Barhoush, A Hallawa, A Schmeink 2021 IEEE International Conference on Machine Learning and Applied Network …, 2021 | 7 | 2021 |
Speaker identification and localization using shuffled MFCC features and deep learning M Barhoush, A Hallawa, A Schmeink International Journal of Speech Technology 26 (1), 185-196, 2023 | 5 | 2023 |
Semi-supervised algorithms in resource-constrained edge devices: An overview and experimental comparison M Barhoush, A Ayad, A Schmeink 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE …, 2022 | 4 | 2022 |
Wavelet based multicarrier CDMA system N Hamad, M Takruri, M Barhoush International Journal of Electrical and Computer Engineering 9 (4), 3051, 2019 | 4 | 2019 |
Adaptive control in cyber-physical systems: Distributed consensus control for wireless cyber-physical systems G Dartmann, E Almodaresi, M Barhoush, N Bajcinca, GK Kurt, V Lücken, ... Cyber-Physical Systems, 15-30, 2017 | 3 | 2017 |
An efficient and private ecg classification system using split and semi-supervised learning A Ayad, M Barhoush, M Frei, B Vo, A Schmeink IEEE Journal of Biomedical and Health Informatics, 2023 | 2 | 2023 |
Semi-supervised Learning in Distributed Split Learning Architecture and IoT Applications M Barhoush, A Ayad, A Schmeink 2023 IEEE 15th International Symposium on Autonomous Decentralized System …, 2023 | 2 | 2023 |
Radiopaths: Deep multimodal analysis on chest radiographs M Kohankhaki, A Ayad, M Barhoush, B Leibe, A Schmeink 2022 IEEE International Conference on Big Data (Big Data), 3613-3621, 2022 | 2 | 2022 |
Accelerating federated learning via modified local model update based on individual performance metric M Barhoush, A Ayad, A Schmeink 2023 3rd International Conference on Electrical, Computer, Communications …, 2023 | 1 | 2023 |
Energy Efficient ECG Classifier Using Smart Lead Switching and Apache TVM A Ayad, M Barhoush, B Völker, S Leonhardt, A Schmeink 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023 | | 2023 |
Detecting Data Poisoning in Split Learning Using Intraclass-Distance Inflated Loss M Kohankhaki, A Ayad, M Barhoush, A Schmeink 2023 IEEE Globecom Workshops (GC Wkshps), 2091-2096, 2023 | | 2023 |
PEACE: Private and Energy-Efficient Algorithm for Cardiac Evaluation on the EDGE using Modified Split Learning and Model Quantization A Ayad, M Barhoush, J Loh, T Gemmeke, A Schmeink 2023 14th International Conference on Information and Communication Systems …, 2023 | | 2023 |
On Using Meta-Learning to Overcome Challenges in Speaker Localization M Barhoush, A Hallawah, A Schmeink IEEE EUROCON 2023-20th International Conference on Smart Technologies, 291-294, 2023 | | 2023 |
Using machine learning in the medical field: speaker signal processing and distributed learning systems M Barhoush Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2023, 2023 | | 2023 |