Space-Time Graph Neural Networks S Hadou, CI Kanatsoulis, A Ribeiro International Conference on Learning Representations ICLR, 2022 | 18 | 2022 |
Joint 2D-DOA and Carrier Frequency Estimation Technique Using Nonlinear Kalman Filters for Cognitive Radio S Elaraby, HY Soliman, HM Abdel-Atty, MA Mohamed IEEE Access 5, 25097-25109, 2017 | 13 | 2017 |
Connectivity analysis of directed highway vehicular ad hoc networks using graph theory S Elaraby, SM Abuelenin International Journal of Communication Systems 34 (5), e4745, 2021 | 12 | 2021 |
A generalized framework for connectivity analysis in vehicle-to-vehicle communications SM Abuelenin, S Elaraby IEEE Transactions on Intelligent Transportation Systems 23 (6), 5894-5898, 2021 | 11 | 2021 |
Super-resolution infrared spectroscopy for gas analysis using convolutional neural networks S Elaraby, YM Sabry, SM Abuelenin Applications of Machine Learning 2020 11511, 180-187, 2020 | 6 | 2020 |
Space-Time Graph Neural Networks with Stochastic Graph Perturbations S Hadou, CI Kanatsoulis, A Ribeiro ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
Deep Learning on Synthesized Sensor Characteristics and Transmission Spectra Enabling MEMS-Based Spectroscopic Gas Analysis beyond the Fourier Transform Limit S Elaraby, SM Abuelenin, A Moussa, YM Sabry Foundations 1 (2), 304-317, 2021 | 4 | 2021 |
Fading Improves Connectivity in Vehicular Ad-hoc Networks S Elaraby, SM Abuelenin arXiv preprint arXiv:1910.05317, 2019 | 4 | 2019 |
Joint angular and spectral estimation technique using nonlinear Kalman filters for cognitive radio S Elaraby, HY Soliman, HM Abdel-Atty, MA Mohamed AEU-International Journal of Electronics and Communications 83, 359-365, 2018 | 4 | 2018 |
Stochastic Unrolled Federated Learning S Hadou, N NaderiAlizadeh, A Ribeiro arXiv preprint arXiv:2305.15371, 2023 | 3 | 2023 |
Robust Stochastically-Descending Unrolled Networks S Hadou, N NaderiAlizadeh, A Ribeiro arXiv preprint arXiv:2312.15788, 2023 | 1 | 2023 |