Development of a Convolutional Neural Network Architecture for Production Based Photovoltaic Fault Detection. - Muhammad Hussain 002; Tianhua Chen; Sofya Titarenko; Richard Hill; Hussain Al-Aqrabi (UKCI, 2022)

A Gradient Guided Architecture Coupled With Filter Fused Representations for Micro-Crack Detection in Photovoltaic Cell Surfaces. - Muhammad Hussain 002; Tianhua Chen; Sofya Titrenko; Pan Su 001; Mufti Mahmud (IEEE Access, 2022)

A Dynamic Multi-Mobile Agent Itinerary Planning Approach in Wireless Sensor Networks via Intuitionistic Fuzzy Set. - Tariq A. A. Alsboui; Richard Hill; Hussain Al-Aqrabi; Hafiz Muhammad Athar Farid; Muhammad Riaz 002; Shamaila Iram; Hafiz Muhammad Shakeel; Muhammad Hussain 002 (Sensors, 2022)

Domain Feature Mapping with YOLOv7 for Automated Edge-Based Pallet Racking Inspections. - Muhammad Hussain 002; Hussain Al-Aqrabi; Muhammad Munawar; Richard Hill; Tariq A. A. Alsboui (Sensors, 2022)

A Scalable Decentralized and Lightweight Access Control Framework Using IOTA Tangle for the Internet of Things. - Tariq A. A. Alsboui; Muhammad Hussain 002; Hussain Al-Aqrabi; Richard Hill; Mohammad Hijjawi (IoTBDS, 2023)

Imputation of Missing Clinical Covariates for Downstream Classification Problems. - Benjamin Agbo; Hussain Al-Aqrabi; Tariq A. A. Alsboui; Muhammad Hussain 002; Richard Hill (IEEE Access, 2023)

Exudate Detection: Integrating Retinal-Based Affine Mapping and Design Flow Mechanism to Develop Lightweight Architectures. - Muhammad Hussain 002 (IEEE Access, 2023)

When, Where, and Which?: Navigating the Intersection of Computer Vision and Generative AI for Strategic Business Integration. - Muhammad Hussain 002 (IEEE Access, 2023)

Exudate Regeneration for Automated Exudate Detection in Retinal Fundus Images. - Muhammad Hussain 002; Hussain Al-Aqrabi; Muhammad Munawar; Richard Hill; Simon Parkinson (IEEE Access, 2023)

Custom Lightweight Convolutional Neural Network Architecture for Automated Detection of Damaged Pallet Racking in Warehousing & Distribution Centers. - Muhammad Hussain 002; Richard Hill (IEEE Access, 2023)

YOLO-v5 Variant Selection Algorithm Coupled with Representative Augmentations for Modelling Production-Based Variance in Automated Lightweight Pallet Racking Inspection. - Muhammad Hussain 002 (Big Data Cogn. Comput., 2023)

Automated Micro-Crack Detection within Photovoltaic Manufacturing Facility via Ground Modelling for a Regularized Convolutional Network. - Damilola Animashaun; Muhammad Hussain 002 (Sensors, 2023)

YOLOv1 to v8: Unveiling Each Variant-A Comprehensive Review of YOLO. - Muhammad Hussain 002 (IEEE Access, 2024)

A Comprehensive Review of Convolutional Neural Networks for Defect Detection in Industrial Applications. - Rahima Khanam; Muhammad Hussain 002; Richard Hill; Paul Allen (IEEE Access, 2024)

A Spectrum-Based Approach to Network Analysis Utilizing Laplacian and Signless Laplacian Spectra to Torus Networks. - Ali Raza; Mobeen Munir; Muhammad Hussain 002; Fikadu Tasgera (IEEE Access, 2024)

YOLOv1 to YOLOv10: A comprehensive review of YOLO variants and their application in the agricultural domain. - Mujadded Al Rabbani Alif; Muhammad Hussain 002 (CoRR, 2024)

Advances and Challenges in Deep Learning for Automated Welding Defect Detection: A Technical Survey. - Abdulrahim Mohammed; Muhammad Hussain 002 (IEEE Access, 2025)

YOLOv12: A Breakdown of the Key Architectural Features. - Mujadded Al Rabbani Alif; Muhammad Hussain 002 (CoRR, 2025)