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Muhammad Ali Farooq, Ph.D., SMIEEE
Muhammad Ali Farooq, Ph.D., SMIEEE
Researcher, University of Galway (UoG)
Подтвержден адрес электронной почты в домене universityofgalway.ie - Главная страница
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Процитировано
Процитировано
Год
Automatic lesion detection system (ALDS) for skin cancer classification using SVM and neural classifiers
MA Farooq, MAM Azhar, RH Raza
2016 IEEE 16th international conference on bioinformatics and bioengineering …, 2016
842016
Infrared Imaging for Human Thermography and Breast Tumor Classification using Thermal Images
PC Muhammad Ali Farooq
2020 31st Irish Signals and Systems Conference (ISSC), 2020
502020
Object detection in thermal spectrum for advanced driver-assistance systems (ADAS)
MA Farooq, P Corcoran, C Rotariu, W Shariff
IEEE Access 9, 156465-156481, 2021
392021
Performance evaluation of advanced deep learning architectures for offline handwritten character recognition
M Soomro, MA Farooq, RH Raza
2017 International Conference on Frontiers of Information Technology (FIT …, 2017
252017
Evaluation of thermal imaging on embedded GPU platforms for application in vehicular assistance systems
MA Farooq, W Shariff, P Corcoran
IEEE Transactions on Intelligent Vehicles 8 (2), 1130-1144, 2022
232022
Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages
MA Farooq, A Khatoon, V Varkarakis, P Corcoran
27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 12, 2019
232019
On the Role of Thermal Imaging in Automotive Applications: A Critical Review
PC Muhammad Ali Farooq, Waseem Sharif, David o Callaghan, Arcangelo Merla
IEEE ACCESS, 2023
16*2023
Neuromorphic Driver Monitoring Systems: A Computationally Efficient Proof-of-Concept for Driver Distraction Detection
W Shariff, MS Dilmaghani, P Kielty, J Lemley, MA Farooq, F Khan, ...
IEEE Open Journal of Vehicular Technology, 2023
152023
Performance estimation of the state-of-the-art convolution neural networks for thermal images-based gender classification system
MA Farooq, H Javidnia, P Corcoran
Journal of Electronic Imaging 29 (6), 063004-063004, 2020
122020
Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN
MA Farooq
Accepted in IEEE EMBC 2024 Conference, https://arxiv.org/abs/2401.05159, 2024
102024
Event-based YOLO object detection: Proof of concept for forward perception system
W Shariff, MA Farooq, J Lemley, P Corcoran
Fifteenth International Conference on Machine Vision (ICMV 2022) 12701, 74-80, 2023
92023
Effectiveness of state-of-the-art super resolution algorithms in surveillance environment
MA Farooq, AA Khan, A Ahmad, RH Raza
Conference on multimedia, interaction, design and innovation, 79-88, 2020
92020
Childgan: large scale synthetic child facial data using domain adaptation in stylegan
MA Farooq, W Yao, G Costache, P Corcoran
IEEE Access 11, 108775-108791, 2023
62023
Optimization of Event Camera Bias Settings for a Neuromorphic Driver Monitoring System
MS Dilmaghani, W Shariff, MA Farooq, J Lemley, P Corcoran
IEEE ACCESS, 2024
52024
Synthesizing CTA Image Data for Type-B Aortic Dissection using Stable Diffusion Models
A Abaid, MA Farooq, N Hynes, P Corcoran, I Ullah
Accepted in IEEE EMBC 2024 Conference, 2024
52024
Towards monocular neural facial depth estimation: Past, present, and future
F Khan, MA Farooq, W Shariff, S Basak, P Corcoran
IEEE Access 10, 29589-29611, 2022
52022
Advanced deep learning methodologies for skin cancer classification in prodromal stages (2020)
MA Farooq, A Khatoon, V Varkarakis, P Corcoran
arXiv preprint arXiv:2003.06356, 0
5
A Study on the Effect of Ageing in Facial Authentication and the Utility of Data Augmentation to Reduce Performance Bias across Age Groups
W Yao, MA Farooq, J Lemley, P Corcoran
IEEE ACCESS, 2023
42023
A robust light-weight fused-feature encoder-decoder model for monocular facial depth estimation from single images trained on synthetic data
F Khan, W Shariff, MA Farooq, S Basak, P Corcoran
IEEE Access 11, 41480-41491, 2023
42023
Generating Thermal Image Data Samples using 3D Facial Modelling Techniques and Deep Learning Methodologies
MA Farooq, P Corcoran
arXiv preprint arXiv:2005.01923, 2020
42020
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