Md. Fahim Ul Islam

According to our database, Md. Fahim Ul Islam authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

A Resource-Efficient Federated Learning Framework for Intrusion Detection in IoMT Networks.

Md. Fahim Ul Islam, Amitabha Chakrabarty, Md. Golam Rabiul Alam, Siti Sarah Maidin

IEEE Trans. Consumer Electron., May, 2025

2024

Wildfire Detection Powered by Involutional Neural Network and Multitask Learning With Dark Channel Prior Technique.

Md. Fahim Ul Islam, Noshin Tabassum, Amitabha Chakrabarty, Syed Mahfuzul Aziz, Mahdieh Shirmohammadi, Nasim Khonsari, Hyun-Han Kwon, Md. Jalil Piran

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

An interpretable fusion model integrating lightweight CNN and transformer architectures for rice leaf disease identification.

Amitabha Chakrabarty, Sarder Tanvir Ahmed, Md. Fahim Ul Islam, Syed Mahfuzul Aziz, Siti Sarah Maidin

Ecol. Informatics, 2024

Transforming Precision: A Comparative Analysis of Vision Transformers, CNNs, and Traditional ML for Knee Osteoarthritis Severity Diagnosis.

Tasnim Sakib Apon, Md. Fahim Ul Islam, Nafiz Imtiaz Rafin, Joya Akter, Md. Golam Rabiul Alam

CoRR, 2024

A Comprehensive Approach Toward Wheat Leaf Disease Identification Leveraging Transformer Models and Federated Learning.

Md. Fahim Ul Islam, Amitabha Chakrabarty, Sarder Tanvir Ahmed, Rafeed Rahman, Hyun-Han Kwon, Md. Jalil Piran

IEEE Access, 2024

Enhancing Intrusion Detection: A Robust Ensemble Learning Approach with Explainable AI and Strategic Fused Voting-Stacking Mechanism.

Nafiz Imtiaz Rafin, Swattic Ghose, Ahsanul Islam, Md. Fahim Ul Islam, Md. Golam Rabiul Alam, Amitabha Chakrabarty

Proceedings of the 3rd International Conference on Computing Advancements, 2024

2023

Real-Time Mastitis Detection in Livestock using Deep Learning and Machine Learning Leveraging Edge Devices.

Kawshik Kumar Ghosh, Md. Fahim Ul Islam, Abrar Ahsan Efaz, Amitabha Chakrabarty, Shahriar Hossain

Proceedings of the 17th IEEE International Symposium on Medical Information and Communication Technology, 2023