Mahmudul Hasan

According to our database, Mahmudul Hasan authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

A Systematic Literature Review of Robust Federated Learning: Issues, Solutions, and Future Research Directions.

Md. Palash Uddin, Yong Xiang, Mahmudul Hasan, Jun Bai, Yao Zhao, Longxiang Gao

ACM Comput. Surv., October, 2025

Enhancing flood forecasting performance using effective and transparent explainable hybrid deep learning model.

Mahmudul Hasan, Md. Fazle Rabbi, Md Amir Hamja, Kanij Fatema, Md. Mahedi Hassan

Earth Sci. Informatics, February, 2025

Deep learning-based exchange rate prediction during the COVID-19 pandemic.

Mohammad Zoynul Abedin, Mahmudul Hasan Moon, Mohammad Kabir Hassan, Petr Hájek

Ann. Oper. Res., February, 2025

2024

Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets.

Mahmudul Hasan, Md Abdus Sahid, Md. Palash Uddin, Md Abu Marjan, Seifedine Kadry, Jungeun Kim

PeerJ Comput. Sci., 2024

Advancing reservoirs water quality parameters estimation using Sentinel-2 and Landsat-8 satellite data with machine learning approaches.

Md. Mamun, Mahmudul Hasan, Kwang-Guk An

Ecol. Informatics, 2024

Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification.

Mahbub Ul Islam Khan, Md. Ilius Hasan Pathan, Mohammad Mominur Rahman, Md. Maidul Islam, Mohammed Arfat Raihan Chowdhury, Md. Shamim Anower, Md. Masud Rana, Md. Shafiul Alam, Mahmudul Hasan, Md. Shohanur Islam Sobuj, Md. Babul Islam, Veerpratap Meena, Francesco Benedetto

IEEE Access, 2024

GroundingCarDD: Text-Guided Multimodal Phrase Grounding for Car Damage Detection.

Md Jahid Hasan, Agustinus Nalwan, Kok-Leong Ong, Hamed Jahani, Yee Ling Boo, Kha Cong Nguyen, Mahmudul Hasan

IEEE Access, 2024

2023

Tribal Dress Identification using Convolutional Neural Network.

Md. Fazle Rabbi, Md. Nahid Sultan, Mahmudul Hasan, Md. Zahidul Islam

J. Inf. Hiding Multim. Signal Process., September, 2023

Cesarean Section Classification Using Machine Learning With Feature Selection, Data Balancing, and Explainability.

Nahid Sultan, Mahmudul Hasan, Md Ferdous Wahid, Hasi Saha, Ahsan Habib

IEEE Access, 2023