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Arbil Chakma
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Rf-enabled deep-learning-assisted drone detection and identification: An end-to-end approach
SS Alam, A Chakma, MH Rahman, R Bin Mofidul, MM Alam, IBKY Utama, ...
Sensors 23 (9), 4202, 2023
162023
NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signals
SB Shuvo, SS Alam, SU Ayman, A Chakma, PD Barua, UR Acharya
Biomedical Signal Processing and Control 86, 105272, 2023
112023
Low-cost 3D printer drawn optical microfibers for smartphone colorimetric detection
MA Hossain, PC Biswas, S Rani, S Binte Eskender, MF Islam, A Chakma, ...
Biosensors 12 (2), 54, 2022
52022
Benchmarking Deep Learning Frameworks for Automated Diagnosis of Ocular Toxoplasmosis: A Comprehensive Approach to Classification and Segmentation
SS Alam, SB Shuvo, SN Ali, F Ahmed, A Chakma, YM Jang
IEEE Access, 2024
22024
Deep Decoder CsiNet for FDD Massive MIMO System
A Chakma, SS Alam, MH Rahman, YM Jang
IEEE Wireless Communications Letters, 2023
22023
Lightweight Deep-Learning Model for RF-Enabled Drone Detection and Identification
A Chakma, SS Alam, RB Mofidul, YM Jang
한국통신학회 인공지능 학술대회 논문집, 377-379, 2023
2023
Predictive Maintenance in Photovoltaic Systems Using Ensemble ML Empirical Analysis
RB Mofidul, SS Alam, A Chakma, BD Chung, YM Jang
2023 Fourteenth International Conference on Ubiquitous and Future Networks …, 2023
2023
DCsiNet: Effective Handling of Noisy CSI in FDD Massive MIMO System
SS Alam, A Chakma, YMJ Al Imran
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Articles 1–8