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Mohammad Al-Sa'd
Mohammad Al-Sa'd
Faculty of Medicine, Department of Neuroscience, University of Helsinki, Helsinki, Finland
Verified email at helsinki.fi - Homepage
Title
Cited by
Cited by
Year
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
1982019
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
862019
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
412018
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
242021
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
212022
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
132018
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
52019
Real-Time Vibration-Based Bearing Fault Diagnosis Under Time-Varying Speed Conditions
T Jalonen, M Al-Sa'd, S Kiranyaz, M Gabbouj
arXiv preprint arXiv:2311.18547, 2023
12023
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
12023
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
12018
Multisensor time-frequency signal processing toolbox
B Boashash, AA El Bey, MF Al-Sa'D
12018
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
12016
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
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