Adaptive middleware design for satellite fault-tolerant distributed computing. - Muhammad Fayyaz; Tanya Vladimirova; Jean-Michel Caujolle (AHS, 2012)

Wireless Fault-Tolerant Distributed Architecture for Satellite Platform Computing. - Tanya Vladimirova; Muhammad Fayyaz (ICHIT (1), 2012)

A new approach for numerical solution of integro-differential equations via Haar wavelets. - Siraj-ul-Islam; Imran Aziz; Muhammad Fayyaz (Int. J. Comput. Math., 2013)

Detection of Silent Data Corruption in fault-tolerant distributed systems on board spacecraft. - Muhammad Fayyaz; Tanya Vladimirova (AHS, 2014)

Investigating Travel Choice Behaviour: a New Approach Using Interactive Experiments with Driving Simulators. - Muhammad Fayyaz; Michiel C. J. Bliemer; Matthew Beck (AAMAS, 2017)

Fault-Tolerant Distributed Attitude and Orbit Control System for Space Applications. - Tanya Vladimirova; Muhammad Fayyaz (AHS, 2018)

Optimizing Task Execution for Mobile Edge Computing. - Muhammad Fayyaz; Bin Cao 002; Waleed Almughalles; Yun Li 001; Liaqat Ali (ICNCC, 2019)

Person re-identification with features-based clustering and deep features. - Muhammad Fayyaz; Mussarat Yasmin; Muhammad Sharif 001; Jamal Hussain Shah; Mudassar Raza; Tassawar Iqbal (Neural Comput. Appl., 2020)

J-LDFR: joint low-level and deep neural network feature representations for pedestrian gender classification. - Muhammad Fayyaz; Mussarat Yasmin; Muhammad Sharif 001; Mudassar Raza (Neural Comput. Appl., 2021)

Clothes Retrieval Using M-AlexNet With Mish Function and Feature Selection Using Joint Shannon's Entropy Pearson's Correlation Coefficient. - Marryam Murtaza; Muhammad Sharif 001; Mussarat Yasmin; Muhammad Fayyaz; Seifedine Kadry 001; Mi Young Lee (IEEE Access, 2022)

Exploring deep learning approaches for Urdu text classification in product manufacturing. - Muhammad Pervez Akhter; Jiangbin Zheng 001; Irfan Raza Naqvi; Mohammed Abdelmajeed; Muhammad Fayyaz (Enterp. Inf. Syst., 2022)

Pedestrian gender classification on imbalanced and small sample datasets using deep and traditional features. - Muhammad Fayyaz; Mussarat Yasmin; Muhammad Sharif 001; Tasswar Iqbal; Mudassar Raza; Muhammad Imran Babar (Neural Comput. Appl., 2023)

The NWRD Dataset: An Open-Source Annotated Segmentation Dataset of Diseased Wheat Crop. - Hirra Anwar; Saad Ullah Khan 005; Muhammad Mohsin Ghaffar; Muhammad Fayyaz; Muhammad Jawad Khan; Christian Weis; Norbert Wehn; Faisal Shafait (Sensors, 2023)

ViT-PGC: vision transformer for pedestrian gender classification on small-size dataset. - Farhat Abbas; Mussarat Yasmin; Muhammad Fayyaz; Usman Asim (Pattern Anal. Appl., 2023)

Deep learning in news recommender systems: A comprehensive survey, challenges and future trends. - Mian Muhammad Talha; Hikmat Ullah Khan; Saqib Iqbal; Mohammed Alghobiri; Tassawar Iqbal; Muhammad Fayyaz (Neurocomputing, 2023)

Wheat Rust Disease Segmentation from Ground Imagery. - Hirra Anwar; Muhammad Jawad Khan; Muhammad Fayyaz; Ajmal Saeed Mian; Faisal Shafait (DICTA, 2024)

A Novel Hybrid Approach for Driver Drowsiness Detection Using a Custom Deep Learning Model. - Muhammad Ramzan; Adnan Abid; Muhammad Fayyaz; Tahani Jaser Alahmadi; Haitham Nobanee; Amjad Rehman (IEEE Access, 2024)

A Large-Scale Dataset and Robust Multifeature Representation With Maximum Correlation-Based Feature Fusion and Matching for Apparel Image Retrieval. - Marryam Murtaza; Muhammad Fayyaz; Mussarat Yasmin; Muhammad Anwar; Kashif Naseer Qureshi; Usman Ahmed Raza (Expert Syst. J. Knowl. Eng., 2025)