| Machine learning for healthcare wearable devices: the big picture F Sabry, T Eltaras, W Labda, K Alzoubi, Q Malluhi Journal of Healthcare Engineering 2022 (1), 4653923, 2022 | 215 | 2022 |
| Towards on-device dehydration monitoring using machine learning from wearable device’s data F Sabry, T Eltaras, W Labda, F Hamza, K Alzoubi, Q Malluhi Sensors 22 (5), 1887, 2022 | 36 | 2022 |
| Efficient verifiable protocol for privacy-preserving aggregation in federated learning T Eltaras, F Sabry, W Labda, K Alzoubi, Q Ahmedeltaras IEEE Transactions on Information Forensics and Security 18, 2977-2990, 2023 | 26 | 2023 |
| Partial packet forwarding to improve performance in fully adaptive routing for cache-coherent nocs TA Eltaras, W Fornaciari, D Zoni 2019 27th Euromicro International Conference on Parallel, Distributed and …, 2019 | 4 | 2019 |
| Wearable Data Generation Using Time-Series Generative Adversarial Networks for Hydration Monitoring. F Sabry, W Labda, T Eltaras, F Hamza, K Elzoubi, QM Malluhi BIOSIGNALS, 94-105, 2023 | 3 | 2023 |
| R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients TA Eltaras, Q Malluhi, A Savino, SD Carlo, A Qayyum International Conference on Web Information Systems Engineering, 271-285, 2024 | | 2024 |
| A Flow Control Mechanism for Fully Adaptive Routing Algorithms in On-Chip Networks T Ahmed Eltaras Politecnico di Torino, 2018 | | 2018 |
William Fornaciariprof. at Politecnico di Milano, Dipartimento di Elettronica, Informazione e BioingegneriaZweryfikowany adres z polimi.it