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Muhammad Hussain
Muhammad Hussain
Lecturer in Computer Science, University of Huddersfield
Verified email at hud.ac.uk
Title
Cited by
Cited by
Year
YOLO-v1 to YOLO-v8, the rise of YOLO and its complementary nature toward digital manufacturing and industrial defect detection
M Hussain
Machines 11 (7), 677, 2023
1192023
Artificial neural network based photovoltaic fault detection algorithm integrating two bi-directional input parameters
M Hussain, M Dhimish, S Titarenko, P Mather
Renewable Energy 155, 1272-1292, 2020
1182020
Domain feature mapping with YOLOv7 for automated edge-based pallet racking inspections
M Hussain, H Al-Aqrabi, M Munawar, R Hill, T Alsboui
Sensors 22 (18), 6927, 2022
482022
Moving toward Smart Manufacturing with an Autonomous Pallet Racking Inspection System Based on MobileNetV2
M Hussain, T Chen, R Hill
Journal of Manufacturing & Materials Processing 6 (4), 2022
192022
PV-CrackNet architecture for filter induced augmentation and micro-cracks detection within a photovoltaic manufacturing facility
M Hussain, H Al-Aqrabi, R Hill
Energies 15 (22), 8667, 2022
172022
Exudate regeneration for automated exudate detection in retinal fundus images
M Hussain, H Al-Aqrabi, M Munawar, R Hill, S Parkinson
IEEE access, 2022
172022
A gradient guided architecture coupled with filter fused representations for micro-crack detection in photovoltaic cell surfaces
M Hussain, T Chen, S Titrenko, P Su, M Mahmud
IEEE Access 10, 58950-58964, 2022
152022
Feature mapping for rice leaf defect detection based on a custom convolutional architecture
M Hussain, H Al-Aqrabi, M Munawar, R Hill
Foods 11 (23), 3914, 2022
142022
A dynamic multi-mobile agent itinerary planning approach in wireless sensor networks via intuitionistic fuzzy set
T Alsboui, R Hill, H Al-Aqrabi, HMA Farid, M Riaz, S Iram, HM Shakeel, ...
Sensors 22 (20), 8037, 2022
142022
Statistical Analysis and Development of an Ensemble-Based Machine Learning Model for Photovoltaic Fault Detection
M Hussain, H Al-Aqrabi, R Hill
Energies 15 (15), 5492, 2022
142022
Deployment of AI-based RBF network for photovoltaics fault detection procedure
M Hussain, M Dhimish, V Holmes, P Mather
AIMS Electronics and Electrical Engineering 4 (1), 1-18, 2019
132019
Custom lightweight convolutional neural network architecture for automated detection of damaged pallet racking in warehousing & distribution centers
M Hussain, R Hill
IEEE Access, 2023
92023
YOLO-v1 to YOLO-v8, the Rise of YOLO and Its Complementary Nature toward Digital Manufacturing and Industrial Defect Detection. Machines, 11 (7), 677
M Hussain
72023
YOLO-v5 Variant Selection Algorithm Coupled with Representative Augmentations for Modelling Production-Based Variance in Automated Lightweight Pallet Racking Inspection
M Hussain
Big Data and Cognitive Computing 7 (2), 120, 2023
62023
Lightweight convolutional network for automated photovoltaic defect detection
A Zahid, M Hussain, R Hill, H Al-Aqrabi
2023 9th International Conference on Information Technology Trends (ITT …, 2023
62023
Child Emotion Recognition via Custom Lightweight CNN Architecture
M Hussain, H Al-Aqrabi
Kids Cybersecurity Using Computational Intelligence Techniques, 165-174, 2023
62023
When, Where, and Which?: Navigating the Intersection of Computer Vision and Generative AI for Strategic Business Integration
M Hussain
IEEE Access 11, 127202-127215, 2023
42023
Domain modelling for a lightweight convolutional network focused on automated exudate detection in retinal fundus images
BA Aydin, M Hussain, R Hill, H Al-Aqrabi
2023 9th International Conference on Information Technology Trends (ITT …, 2023
42023
A Review on Defect Detection of Electroluminescence-Based Photovoltaic Cell Surface Images Using Computer Vision
T Hussain, M Hussain, H Al-Aqrabi, T Alsboui, R Hill
Energies 16 (10), 4012, 2023
42023
Automated Micro-Crack Detection within Photovoltaic Manufacturing Facility via Ground Modelling for a Regularized Convolutional Network
D Animashaun, M Hussain
Sensors 23 (13), 6235, 2023
32023
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