Muhammad Azeem
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
Deep learning-driven prediction of chemotherapy response in breast cancer: a pathway toward precision medicine.
Soft Comput., April, 2026
An improved variant of quantitative randomized response techniques using forced responses.
Commun. Stat. Simul. Comput., March, 2026
Toward Faster E-Motor Deployment: A Fleet Digital Twin Approach for Predicting Efficiency Under Unseen Load Profiles.
IEEE Access, 2026
Context-Aware Graph Neural Network for Skin Lesion Classification: Context-Aware GNN for Skin Lesion Classification.
Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Toward Accurate Partial Discharge Measurements Under Impulsive Pulse Voltages for Turn-to-Turn Insulation of Inverter-Fed Motors: Time Interval Selection, Frequency Investigation, and PD Pattern.
IEEE Access, 2025
2024
Qual. Reliab. Eng. Int., February, 2024
Digital Twin of Electric Drivetrain: Approach for Virtual Validation of Different Load Profiles.
Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024
MANet: A Deep Learning Framework for Multi-Cancer Microarray Analysis, Classification, and Visualization.
Proceedings of the International Conference on Frontiers of Information Technology, 2024
EQCNN: Enhanced Remote Sensing Imagery Classification with Circuit-Based Error-Corrected Quantum Convolutional Neural Networks.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2024
Enhanced Pediatric Pneumonia Diagnosis with Chest X-Ray using Deep Attention Mechanism.
Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2024
2023
Fractional Order Operator for Symmetric Analysis of Cancer Model on Stem Cells with Chemotherapy.
Symmetry, February, 2023
2022
Proceedings of the International Conference on Frontiers of Information Technology, 2022
2021
CoRR, 2021
2020
Robust extended dissipativity analysis for Markovian jump discrete-time delayed stochastic singular neural networks.
Neural Comput. Appl., 2020
2016
2014
Comput. Networks, 2014