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Muhammad Rizwan 0004
Person information
- affiliation: Capital University of Science and Technology, Department of Computer Science, Islamabad, Pakistan
Other persons with the same name
- Muhammad Rizwan — disambiguation page
- Muhammad Rizwan 0001
— Georgia Institute of Technology, Atlanta, GA, USA
- Muhammad Rizwan 0002
— Khalifa University of Science Technology, Department of Chemical Engineering, Abu Dhabi, UAE (and 1 more)
- Muhammad Rizwan 0003
— Tampere University of Technology, BioMediTech Institute / Faculty of Biomedical Sciences and Engineering, Finland
- Muhammad Rizwan 0005
— Kinnaird College for Women, Department of Computer Science, Lahore, Pakistan
- Muhammad Rizwan 0006
— Shanghai University, Institute of Smart City / School of Communication and Information Engineering, China
- Muhammad Rizwan 0007
— University of Engineering and Technology, Taxila, Department of Computer Engineering, Pakistan
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2020 – today
- 2024
- [j7]Faiza Babar Khan
, Muhammad Hanif Durad
, Asifullah Khan
, Farrukh Aslam Khan
, Muhammad Rizwan
, Aftab Ali
:
Design and Performance Analysis of an Anti-Malware System Based on Generative Adversarial Network Framework. IEEE Access 12: 27683-27708 (2024) - 2022
- [j6]Muhammad Rizwan, Aamer Nadeem
, Sohail Sarwar
, Muddesar Iqbal
, Muhammad Safyan, Zia Ul-Qayyum:
EkmEx - an extended framework for labeling an unlabeled fault dataset. Multim. Tools Appl. 81(9): 12141-12156 (2022) - [c1]Muhammad Rizwan, Zulfiqar Habib, Sohail Sarwar
, Muddesar Iqbal
, Muhammad Safyan, Dhafer Al-Makhles:
An Exploratory Framework for Intelligent Labelling of Fault Datasets. HCCS 2022: 1-11 - 2021
- [j5]Muhammad Rizwan, Aamer Nadeem
, Muddassar Azam Sindhu
:
Vovel metrics - novel coupling metrics for improved software fault prediction. PeerJ Comput. Sci. 7: e590 (2021) - 2020
- [j4]Muhammad Rizwan, Aamer Nadeem
, Muddesar Iqbal
, Sohail Sarwar
, Muhammad Safyan, Zia Ul-Qayyum:
An Adaptive Software Fault-Tolerant Framework for Ubiquitous Vehicular Technologies. IEEE Commun. Stand. Mag. 4(4): 26-32 (2020)
2010 – 2019
- 2019
- [j3]Muhammad Rizwan
, Aamer Nadeem
, Muddassar Azam Sindhu
:
Analyses of Classifier's Performance Measures Used in Software Fault Prediction Studies. IEEE Access 7: 82764-82775 (2019) - 2016
- [j2]Asifullah Khan
, Muhammad Waqas, Muhammad Rizwan, Abdulrahman H. Altalhi, Saleh Alshomrani, Seong-O Shim
:
Image de-noising using noise ratio estimation, K-means clustering and non-local means-based estimator. Comput. Electr. Eng. 54: 370-381 (2016) - 2012
- [j1]Adnan Idris, Muhammad Rizwan, Asifullah Khan
:
Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies. Comput. Electr. Eng. 38(6): 1808-1819 (2012)
Coauthor Index

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