195 citations
- International University of Business Agriculture and TechnologyBD4 papers
- University of TorontoCA4 papers
- Bangladesh University of Engineering and TechnologyBD3 papers
- BRAC UniversityBD3 papers
- University of South FloridaUS3 papers
- American International University-BangladeshBD2 papers
- Commonwealth Scientific and Industrial Research OrganisationAU2 papers
- Data61AU2 papers
- Dhaka University of Engineering & TechnologyBD2 papers
- East Delta UniversityBD2 papers
- Khulna University of Engineering and TechnologyBD2 papers
- Manchester UniversityUS2 papers
70 papers
SleepExplain: Explainable Non-Rapid Eye Movement and Rapid Eye Movement Sleep Stage Classification from EEG Signal
Rafsan Jany, Md. Hamjajul Ashmafee, Iqram Hussain +1
Classification of sleep stages is one of the most important diagnostic approaches for a variety of sleep-related disorders. Electroencephalography (EEG) is regarded as a powerful t…
LoRA-MME: Multi-Model Ensemble of LoRA-Tuned Encoders for Code Comment Classification
Md Akib Haider, Ahsan Bulbul, Nafis Fuad Shahid +2
Code comment classification is a critical task for automated software documentation and analysis. In the context of the NLBSE'26 Tool Competition, we present LoRA-MME, a Multi-Mode…
BornoViT: A Novel Efficient Vision Transformer for Bengali Handwritten Basic Characters Classification
Rafi Hassan Chowdhury, Naimul Haque, Kaniz Fatiha
Handwritten character classification in the Bengali script is a significant challenge due to the complexity and variability of the characters. The models commonly used for classifi…
Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework
Md Muntasir Jahid Ayan, Md. Shahriar Rashid, Tazzina Afroze Hassan +6
The increasing complexity and frequency of cyber-threats demand intrusion detection systems (IDS) that are not only accurate but also interpretable. This paper presented a novel ID…
An Interpretable Convolutional Neural Network Framework for Fluid Dynamics
Kwame Agyei-Baah, Muhammad Rizwanur Rahman, E. R. Smith
Modelling fluid dynamics with machine learning (ML) has advanced rapidly, yet most data driven approaches remain opaque because they rely on complex architectures to capture nonlin…
Flow-Based Path Planning for Multiple Homogenous UAVs for Outdoor Formation-Flying
Mahmud Suhaimi Ibrahim, Shantanu Rahman, Muhammad Samin Hasan +2
Collision-free path planning is the most crucial component in multi-UAV formation-flying (MFF). We use unlabeled homogenous quadcopters (UAVs) to demonstrate the use of a flow netw…