Arbil Chakma

According to our database, Arbil Chakma authored at least 6 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

DCsiNet: Effective Handling of Noisy CSI in FDD Massive MIMO System.

Syed Samiul Alam, Arbil Chakma, Al Imran, Yeong Min Jang

IEEE Wirel. Commun. Lett., September, 2024

Benchmarking Deep Learning Frameworks for Automated Diagnosis of Ocular Toxoplasmosis: A Comprehensive Approach to Classification and Segmentation.

Syed Samiul Alam, Samiul Based Shuvo, Shams Nafisa Ali, Fardeen Ahmed, Arbil Chakma, Yeong Min Jang

IEEE Access, 2024

2023

Deep Decoder CsiNet for FDD Massive MIMO System.

Arbil Chakma, Syed Samiul Alam, Md. Habibur Rahman, Yeong Min Jang

IEEE Wirel. Commun. Lett., December, 2023

NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signals.

Samiul Based Shuvo, Syed Samiul Alam, Syeda Umme Ayman, Arbil Chakma, Prabal Datta Barua, U. Rajendra Acharya

Biomed. Signal Process. Control., September, 2023

RF-Enabled Deep-Learning-Assisted Drone Detection and Identification: An End-to-End Approach.

Syed Samiul Alam, Arbil Chakma, Md. Habibur Rahman, Raihan Bin Mofidul, Md. Morshed Alam, Ida Bagus Krishna Yoga Utama, Yeong Min Jang

Sensors, 2023

Predictive Maintenance in Photovoltaic Systems Using Ensemble ML Empirical Analysis.

Raihan Bin Mofidul, Syed Samiul Alam, Arbil Chakma, ByungDeok Chung, Yeong Min Jang

Proceedings of the Fourteenth International Conference on Ubiquitous and Future Networks, 2023