Author

Muhammad Rizwan

Observed name: Rizwan, Muhammad

Institutions: Foundation University Islamabad, Frontier Medical College, Foundation University Medical College, Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology, Bahria University

Observed institutions: Pakistan Institute of Engineering and Applied Sciences, Kinnaird College for Women University, Foundation University Islamabad, Mehran University of Engineering and Technology, University of Derby, Frontier Medical College, Foundation University Medical College, Capital University of Science and Technology, Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology, Sultan Qaboos University, Bahria University

ORCID: 0009-0004-9735-1743

Observed ORCID: 0009-0004-9735-1743

OpenAlex ID: A5108089136

Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies

2012 · Adnan Idris, Muhammad Rizwan, et al. · Computers & Electrical Engineering · 138

Bitcoin price prediction using Deep Learning Algorithm

2019 · Muhammad Rizwan, Sanam Narejo, et al. · International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS) · 39

Trustworthy Intrusion Detection in E-Healthcare Systems

2021 · Faiza Akram, Dongsheng Liu, et al. · Frontiers in Public Health · 25

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Deep learning based cyber bullying early detection using distributed denial of service flow

2021 · Muhammad Hassan Zaib, Faisal Bashir, et al. · Multimedia Systems · 16

Privacy and Security Challenges in Federated Learning for UAV Systems: A Comprehensive Review

2024 · Ahmed Al Farsi, Ajmal Khan, et al. · 7

Voice-Based Early Diagnosis of Parkinson’s Disease Using Spectrogram Features and AI Models

2025 · Danish Quamar, V. D. Ambeth Kumar, et al. · Bioengineering · 6

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Computational Tool for Classification of Dengue Virus

2017 · Ishtiaq Ali, Fahad Humayun, et al. · Journal of Applied Bioinformatics & Computational Biology · 6

Device-to-device communication in 5G heterogeneous network based on game-theoretic approaches: A comprehensive survey

2025 · Rana Zeeshan Ahmad, Muhammad Rizwan, et al. · Journal of Network and Computer Applications · 4

An Effective Undersampling Approach to Deal with Class Imbalance Problem in Software Defect Prediction

2022 · Syed Fawad-ul-Hassan Gillani, Aamer Nadeem, et al. · International Bhurban Conference on Applied Sciences and Technology (IBCAST) · 4

Security, Trust and Privacy In Cyber (Stpc Cyber)

2019 · Ayesha Maqsood, Muhammad Rizwan · International Journal of Scientific and Research Publications · 2

Optimality of Feature set for Intrusion Detection System

2021 · Zeeshan Naseer, Muhammad Rizwan, et al. · International Bhurban Conference on Applied Sciences and Technologies (IBCAST) · 1

Explainable deep learning models for kidney stone classification using axial CT scans

2026 · Muhammad Zeeshan Burki, Rashid Naseem, et al. · Network Modeling Analysis in Health Informatics and Bioinformatics

Clinicoradiographic Spectrum of Ameloblastoma: a Single-center Study From Pakistan

2026 · Abdul Manan, Salwan Ghani, et al. · International Journal of Medicine and Public Health

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Explainable AI machine learning framework for chronic kidney disease prediction utilizing electronic health records

2026 · Muhammad Rizwan, Rashid Naseem, et al. · BMC Medical Informatics and Decision Making

Intelligent delignification: leveraging explainable AI for ozone transport modeling and optimization

2025 · Muhammad Rizwan, Muhammad Ahmad Khan, et al. · Scientific Reports

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Corrigendum to ‘Device-to-device communication in 5G heterogeneous network based on game-theoretic approaches: A comprehensive survey’ [J. Netw. Comput., Volume 238, June 2025, 104152]

2025 · Rana Zeeshan Ahmad, Muhammad Rizwan, et al. · Journal of Network and Computer Applications

Works count: 17

Citation count: 248

H-index: 6

I10-index: 4