Muhammad Hussain
Orcid: 0000-0001-8458-6202Affiliations:
- University of Huddersfield, School of Computing and Engineering, Department of Computer Science, UK
According to our database1,
Muhammad Hussain
authored at least 15 papers
between 2022 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A Spectrum-Based Approach to Network Analysis Utilizing Laplacian and Signless Laplacian Spectra to Torus Networks.
IEEE Access, 2024
A Comprehensive Review of Convolutional Neural Networks for Defect Detection in Industrial Applications.
IEEE Access, 2024
IEEE Access, 2024
2023
Automated Micro-Crack Detection within Photovoltaic Manufacturing Facility via Ground Modelling for a Regularized Convolutional Network.
Sensors, July, 2023
YOLO-v5 Variant Selection Algorithm Coupled with Representative Augmentations for Modelling Production-Based Variance in Automated Lightweight Pallet Racking Inspection.
Big Data Cogn. Comput., 2023
Custom Lightweight Convolutional Neural Network Architecture for Automated Detection of Damaged Pallet Racking in Warehousing & Distribution Centers.
IEEE Access, 2023
IEEE Access, 2023
When, Where, and Which?: Navigating the Intersection of Computer Vision and Generative AI for Strategic Business Integration.
IEEE Access, 2023
Exudate Detection: Integrating Retinal-Based Affine Mapping and Design Flow Mechanism to Develop Lightweight Architectures.
IEEE Access, 2023
IEEE Access, 2023
A Scalable Decentralized and Lightweight Access Control Framework Using IOTA Tangle for the Internet of Things.
Proceedings of the 8th International Conference on Internet of Things, 2023
2022
Domain Feature Mapping with YOLOv7 for Automated Edge-Based Pallet Racking Inspections.
Sensors, 2022
A Dynamic Multi-Mobile Agent Itinerary Planning Approach in Wireless Sensor Networks via Intuitionistic Fuzzy Set.
Sensors, 2022
A Gradient Guided Architecture Coupled With Filter Fused Representations for Micro-Crack Detection in Photovoltaic Cell Surfaces.
IEEE Access, 2022
Development of a Convolutional Neural Network Architecture for Production Based Photovoltaic Fault Detection.
Proceedings of the Advances in Computational Intelligence Systems, 2022