AM
Ali Mayya; Ali Mahmoud Mayya; Mayya A
Scuola Universitaria Professionale della Svizzera Italiana, Al Manarah University, Latakia University
0000-0002-8262-0072
About
Researcher at Scuola Universitaria Professionale della Svizzera Italiana.
PhD in computer engineering, specialty of adaptive pattern recognition. Main topics: Computer vision, deep learning, pattern recognition, machine learning, image processing, defect detection, crack identification, medical images processing.
Employment
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Scuola Universitaria Professionale della Svizzera Italiana Researcher2026 - Present
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Al Manarah University Lecturer2023 - Present
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Latakia University Full-time Lecturer2022 - 2026
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (22)
- U-Sleep-RBD-KAN: Joint Sleep Staging and REM Behavior Disorder Detection With Interpretable Nonlinear Learning Save
- Multi-Class Concrete Defect Classification Using Guided Semantic–Spatial Fusion and Squeeze–Excitation Enhanced DenseNet Model Save
- Correction: A novel ensemble learning approach for grouping the state-of-the-art YOLOV10 and YOLOV11 models for kidney stone detection in CT and Ultrasound images Save
- A Novel Ensemble Learning Approach for Grouping the State-of-the-Art YOLOV10 and YOLOV11 Models for Kidney Stone Detection in CT and Ultrasound Images Save
- Multitype concrete defect detection using the new post-earthquake concrete crack dataset and extended YOLO approach Save
- Multitype concrete defect detection using the new post-earthquake concrete crack dataset and extended YOLO approach Save
- Triple-stage crack detection in stone masonry using YOLO-ensemble, MobileNetV2U-net, and spectral clustering Save
- Efficient hybrid ensembles of CNNs and transfer learning models for bridge deck image-based crack detection Save
- Prediction of concrete and FRC properties at high temperature using machine and deep learning: A review of recent advances and future perspectives Save
- Cardiotoxicity detection tool for breast cancer chemotherapy: a retrospective study Save