Rahima Khanam - Google Scholar

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Citations	11	11
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Co-authors

Richard HillProfessor of Intelligent Systems, University of HuddersfieldVerified email at hud.ac.uk
Paul AllenUniversity of HuddersfieldVerified email at hud.ac.uk
Muhammad Hussain FKHEALecturer in Computer Science, University of HuddersfieldVerified email at hud.ac.uk

Rahima Khanam

Rahima Khanam

PhD Researcher, University of Huddersfield

Verified email at hud.ac.uk

Artificial Intelligence Machine Learning Deep Learning CNNs Defect Detection


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
In-Depth Review of YOLOv1 to YOLOv10 Variants for Enhanced Photovoltaic Defect Detection M Hussain, R Khanam Solar 4 (3), 351-386, 2024	6	2024
A Comprehensive Review of Convolutional Neural Networks for Defect Detection in Industrial Applications R Khanam, M Hussain, R Hill, P Allen IEEE Access, 2024	2	2024
Review of Threats in IoT Systems: Challenges and Solutions R Khanam International Journal for Research in Applied Science & Engineering …, 2023	2	2023
What is YOLOv5: A deep look into the internal features of the popular object detector R Khanam, M Hussain arXiv preprint arXiv:2407.20892, 2024	1	2024

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Articles 1–4