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ORCIDSaifur Rahman 0002
Person information
- affiliation: Deakin University, School of Information Technology, Geelong, VIC, Australia
- affiliation: Kongju National University, Department of EEE, Korea
Other persons with the same name
- Saifur Rahman — disambiguation page
- Saifur Rahman 0001
![[0000-0001-6226-8406]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6226-8406")
(aka: Saifur Rahman Bradley) — Virginia Tech, Advanced Research Institute, Arlington, VA, USA - Md Saifur Rahman (aka: Md. Saifur Rahman) — disambiguation page
- Md Saifur Rahman 0001 (aka: Md. Saifur Rahman 0001) — Samsung Research America, Plano, TX, USA (and 1 more)
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2020 – today
- 2024
[j4]Shantanu Pal, Saifur Rahman, Maedeh Beheshti, Ahsan Habib, Zahra Jadidi, Chandan K. Karmakar:
The Impact of Simultaneous Adversarial Attacks on Robustness of Medical Image Analysis. IEEE Access 12: 66478-66494 (2024)- [j3]Saifur Rahman, Shantanu Pal, John Yearwood, Chandan K. Karmakar:
Analysing Performances of DL-Based ECG Noise Classification Models Deployed in Memory-Constraint IoT-Enabled Devices. IEEE Trans. Consumer Electron. 70(1): 704-714 (2024) - [c5]Tisha Chawla, Saifur Rahman, Shantanu Pal, Chandan K. Karmakar:
A Robust Feature Integration for Multiclass Metamorphic Malware Detection in IoT Network. COMSNETS 2024: 412-414 - [c4]Shubh Mittal, Saifur Rahman, Shantanu Pal, Chandan K. Karmakar:
A Prognostic Framework for Post-Operative Patient Survival Prediction in IoMT. COMSNETS 2024: 415-417 - 2023
- [j2]Md Saifur Rahman, Md. Palash Uddin, Sikyung Kim:
An IoT-Enabled Ground Loop Detection System: Design, Implementation and Testing. J. Circuits Syst. Comput. 32(14): 2350238:1-2350238:13 (2023) - [j1]Qi An, Saifur Rahman, Jingwen Zhou, James Jin Kang:
A Comprehensive Review on Machine Learning in Healthcare Industry: Classification, Restrictions, Opportunities and Challenges. Sensors 23(9): 4178 (2023) - [c3]Saifur Rahman, Ahsan Habib, Chandan K. Karmakar, John Yearwood:
Impact of synthetic noise signature and physiologic ECG signal on designing ML-based ECG noise detection framework. EMBC 2023: 1-4 - [c2]Radhagayathri K. Udhayakumar, Saifur Rahman, Shivapratap Gopakumar, Chandan K. Karmakar:
Nonlinear Features from Multi-Modal Signals for Continuous Stress Monitoring. EMBC 2023: 1-4
2010 – 2019
- 2017
- [c1]Md Saifur Rahman, Young-Pil Kim, Chulhyung Choi, Sikyung Kim:
A comprehensive adaptive filter to eliminate baseline wander from ECG signals. ICTC 2017: 43-48
Coauthor Index
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last updated on 2024-05-24 22:33 CEST by the dblp team
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