Hussain, Muhammad

YOLO-v1 to YOLO-v8, the Rise of YOLO and Its Complementary Nature toward Digital Manufacturing and Industrial Defect Detection

Hussain, M. (2023) · Machines

Industrial Vision Systems and Defect DetectionAdvanced Neural Network Applications

Cited by 1,217

YOLOv11: An Overview of the Key Architectural Enhancements

Khanam, R., & Hussain, M. (2024) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 604

YOLOv1 to v8: Unveiling Each Variant–A Comprehensive Review of YOLO

Hussain, M. (2024) · IEEE Access

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 492

Lightweight Convolutional Network For Automated Photovoltaic Defect Detection

Zahid, A., Hussain, M., Hill, R., & Al-Aqrabi, H. (2023) · 2023 9th International Conference on Information Technology Trends (ITT)

Industrial Vision Systems and Defect DetectionAdvanced Neural Network Applications

Cited by 14

Domain Modelling For A Lightweight Convolutional Network Focused On Automated Exudate Detection in Retinal Fundus Images

Aydin, B. A., Hussain, M., Hill, R., & Al-Aqrabi, H. (2023) · 2023 9th International Conference on Information Technology Trends (ITT)

Retinal Imaging and AnalysisAdvanced Neural Network Applications

Cited by 9