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Saman Riaz
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2020 – today
- 2024
- [j8]Syeda Wajiha Zahra, Muhammad Nadeem, Ali Arshad, Saman Riaz, Waqas Ahmed, Muhammad Abu Bakr, Amerah A. Alabrah:
Emergence of Novel WEDEx-Kerberotic Cryptographic Framework to Strengthen the Cloud Data Security against Malicious Attacks. Symmetry 16(5): 605 (2024) - 2023
- [j7]Faria Sajjad, Muhammad Rashid, Afia Zafar, Kainat Zafar, Benish Fida, Ali Arshad, Saman Riaz, Ashit Kumar Dutta, Joel J. P. C. Rodrigues:
An efficient hybrid approach for optimization using simulated annealing and grasshopper algorithm for IoT applications. Discov. Internet Things 3(1): 7 (2023) - 2021
- [j6]Muhammad Nadeem, Ali Arshad, Saman Riaz, Shahab S. Band, Amir Mosavi:
Intercept the Cloud Network From Brute Force and DDoS Attacks via Intrusion Detection and Prevention System. IEEE Access 9: 152300-152309 (2021) - [c2]Ali Arshad, Muhammad Hassam, Saman Riaz, Shahab Shamshirband:
Empirical Study of Semi-Supervised Deep Fuzzy C-Mean Clustering Algorithm. EUROCON 2021: 239-245
2010 – 2019
- 2019
- [j5]Ali Arshad, Saman Riaz, Licheng Jiao:
Semi-Supervised Deep Fuzzy C-Mean Clustering for Imbalanced Multi-Class Classification. IEEE Access 7: 28100-28112 (2019) - [j4]Saman Riaz, Ali Arshad, Licheng Jiao:
A Semi-Supervised CNN With Fuzzy Rough C-Mean for Image Classification. IEEE Access 7: 49641-49652 (2019) - 2018
- [j3]Ali Arshad, Saman Riaz, Licheng Jiao, Aparna Murthy:
Semi-Supervised Deep Fuzzy C-Mean Clustering for Software Fault Prediction. IEEE Access 6: 25675-25685 (2018) - [j2]Saman Riaz, Ali Arshad, Licheng Jiao:
Rough Noise-Filtered Easy Ensemble for Software Fault Prediction. IEEE Access 6: 46886-46899 (2018) - [j1]Ali Arshad, Saman Riaz, Licheng Jiao, Aparna Murthy:
The Empirical Study of Semi-Supervised Deep Fuzzy C-Mean Clustering for Software Fault Prediction. IEEE Access 6: 47047-47061 (2018) - [c1]Saman Riaz, Ali Arshad, Licheng Jiao:
Rough-KNN Noise-Filtered Convolutional Neural Network for Image Classification. ITITS 2018: 265-275
Coauthor Index
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last updated on 2024-07-20 20:35 CEST by the dblp team
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