| RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database MF Al-Sa’d, A Al-Ali, A Mohamed, T Khattab, A Erbad Future Generation Computer Systems 100, 86-97, 2019 | 224 | 2019 |
| DroneRF dataset: A dataset of drones for RF-based detection, classification and identification MHDS Allahham, MF Al-Sa'd, A Al-Ali, A Mohamed, T Khattab, A Erbad Data in brief 26, 104313, 2019 | 92 | 2019 |
| A deep learning approach for vital signs compression and energy efficient delivery in mhealth systems MF Al-Sa’D, M Tlili, AA Abdellatif, A Mohamed, T Elfouly, K Harras, ... IEEE Access 6, 33727-33739, 2018 | 41 | 2018 |
| Design of an optimal piece-wise spline Wigner-Ville distribution for TFD performance evaluation and comparison M Al-Sa’d, B Boashash, M Gabbouj IEEE Transactions on Signal Processing 69, 3963-3976, 2021 | 26 | 2021 |
| A social distance estimation and crowd monitoring system for surveillance cameras M Al-Sa’d, S Kiranyaz, I Ahmad, C Sundell, M Vakkuri, M Gabbouj Sensors 22 (2), 418, 2022 | 22 | 2022 |
| Multisensor Time–Frequency Signal Processing MATLAB package: An analysis tool for multichannel non-stationary data B Boashash, A Aïssa-El-Bey, MF Al-Sa’d SoftwareX 8, 53-58, 2018 | 13 | 2018 |
| Design and implementation of a multi-sensor newborn EEG seizure and background model with inter-channel field characterization MF Al-Sa'd, B Boashash Digital Signal Processing 90, 71-99, 2019 | 5 | 2019 |
| Real-Time Vibration-Based Bearing Fault Diagnosis Under Time-Varying Speed Conditions T Jalonen, M Al-Sa'd, S Kiranyaz, M Gabbouj 2024 IEEE International Conference on Industrial Technology (ICIT), 1-7, 2024 | 1 | 2024 |
| Real-Time Damage Detection in Fiber Lifting Ropes Using Convolutional Neural Networks T Jalonen, M Al-Sa'd, R Mellanen, S Kiranyaz, M Gabbouj arXiv preprint arXiv:2302.11947, 2023 | 1 | 2023 |
| Time–Frequency Analysis for EEG Quality Measurement and Enhancement with Applications in Newborn EEG Abnormality Detection: Multichannel EEG Enhancement and Classification for … B Boashash, S Ouelha, M Al-Sa’d, A Salim, P Colditz Signal Processing and Machine Learning for Biomedical Big Data, 73-114, 2018 | 1 | 2018 |
| Multisensor time-frequency signal processing toolbox B Boashash, AA El Bey, MF Al-Sa'D | 1 | 2018 |
| Design of a simulator for neonatal multichannel EEG: Application to time-frequency approaches for automatic artifact removal and seizure detection MF Al-Sa'd Qatar University (Qatar), 2016 | 1 | 2016 |
| Multiplex dynamic networks in the newborn brain disclose latent links with neurobehavioral phenotypes M Al‐Sa'd, S Vanhatalo, A Tokariev Human Brain Mapping 45 (2), e26610, 2024 | | 2024 |
| Quadratic Time-Frequency Analysis of Vibration Signals for Diagnosing Bearing Faults M Al-Sa'd, T Jalonen, S Kiranyaz, M Gabbouj arXiv preprint arXiv:2401.01172, 2024 | | 2024 |
| Convolutional Versus Operational Neural Networks for Semantic Segmentation of Maritime and Harbor Scenes B Can Pullinen, M Al-Sa'd, S Kiranyaz, M Gabbouj Mohammad and Kiranyaz, Serkan and Gabbouj, Moncef, Convolutional Versus …, 2023 | | 2023 |
| Time-Frequency Analysis: Application to Electroencephalogram Signal Processing M Al-Sa'd Tampere University, 2022 | | 2022 |
| Design of a Digital Pleural Drainage System RM Mohieddine Benammar, Mohammad F. Al-Sa’d, Monther Abu-Gaoud, Esmaeil A ... The 6th International Conference on Bioinformatics and Biomedical …, 2012 | | 2012 |
Amr MohamedProfessor, Qatar University, senior member IEEE在 qu.edu.qa 的电子邮件经过验证
