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ORCIDSheikh Shah Mohammad Motiur Rahman
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2020 – today
- 2024
[j1]Sheikh Shah Mohammad Motiur Rahman
, Michel Salomon, Sounkalo Dembélé:
Towards scanning electron microscopy image denoising: a state-of-the-art overview, benchmark, taxonomies, and future direction. Mach. Vis. Appl. 35(4): 87 (2024)- 2023
- [c6]Sheikh Shah Mohammad Motiur Rahman, Michel Salomon, Sounkalo Dembélé:
Noise Analysis to Guide Denoising of Scanning Electron Microscopy Images. CoDIT 2023: 1559-1564 - 2020
- [c5]Md. Omar Faruque Khan Russel, Sheikh Shah Mohammad Motiur Rahman, Takia Islam:
A Large-Scale Investigation to Identify the Pattern of App Component in Obfuscated Android Malwares. MIND (2) 2020: 513-526
2010 – 2019
- 2019
- [c4]Md Fahimuzzman Sohan, Md. Ismail Jabiullah, Sheikh Shah Mohammad Motiur Rahman, S. M. Hasan Mahmud:
Assessing the Effect of Imbalanced Learning on Cross-project Software Defect Prediction. ICCCNT 2019: 1-6 - 2018
- [c3]S. Rayhan Kabir, Mirza Mohtashim Alam, Shaikh Muhammad Allayear, Md Tahsir Ahmed Munna, Syeda Sumbul Hossain, Sheikh Shah Mohammad Motiur Rahman:
Relative Direction: Location Path Providing Method for Allied Intelligent Agent. ICACDS (1) 2018: 381-391 - [c2]Md. Shohel Rana, Sheikh Shah Mohammad Motiur Rahman, Andrew H. Sung:
Evaluation of Tree Based Machine Learning Classifiers for Android Malware Detection. ICCCI (2) 2018: 377-385 - [c1]Sheikh Shah Mohammad Motiur Rahman, Sanjit Kumar Saha:
StackDroid: Evaluation of a Multi-level Approach for Detecting the Malware on Android Using Stacked Generalization. RTIP2R (1) 2018: 611-623
Coauthor Index
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last updated on 2024-08-23 19:26 CEST by the dblp team
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