10 citations · 11 across the 5 of their papers we have counts for
8 papers
3D MRI-Based Alzheimer's Disease Classification Using Multi-Modal 3D CNN with Leakage-Aware Subject-Level Evaluation
Md Sifat, Sania Akter, Akif Islam +5
Deep learning has become an important tool for Alzheimer's disease (AD) classification from structural MRI. Many existing studies analyze individual 2D slices extracted from MRI vo…
AQUA-Net: Adaptive Frequency Fusion and Illumination Aware Network for Underwater Image Enhancement
Munsif Ali, Najmul Hassan, Lucia Ventura +3
Underwater images often suffer from severe color distortion, low contrast, and a hazy appearance due to wavelength-dependent light absorption and scattering. Simultaneously, existi…
Multi Class Parkinson Disease Detection Based on Finger Tapping Using Attention Enhanced CNN BiLSTM
Abu Saleh Musa Miah, Najmul Hassan, Md Maruf Al Hossain +2
Accurate evaluation of Parkinsons disease (PD) severity is essential for effective clinical management and intervention development. Despite the proposal of several gesture based P…
Hybrid CNN-BYOL Approach for Fault Detection in Induction Motors Using Thermal Images
Tangin Amir Smrity, MD Zahin Muntaqim Hasan Muhammad Kafi, Abu Saleh Musa Miah +5
Induction motors (IMs) are indispensable in industrial and daily life, but they are susceptible to various faults that can lead to overheating, wasted energy consumption, and servi…
Code Smell Detection via Pearson Correlation and ML Hyperparameter Optimization
Moinuddin Muhammad Imtiaz Bhuiyan, Kazi Ekramul Hoque, Rakibul Islam +6
This study addresses the challenge of detecting code smells in large-scale software systems using machine learning (ML). Traditional detection methods often suffer from low accurac…
Multimodal Attention-Enhanced Feature Fusion-based Weekly Supervised Anomaly Violence Detection
Yuta Kaneko, Abu Saleh Musa Miah, Najmul Hassan +3
Weakly supervised video anomaly detection (WS-VAD) is a crucial area in computer vision for developing intelligent surveillance systems. This system uses three feature streams: RGB…
A Comprehensive Methodological Survey of Human Activity Recognition Across Divers Data Modalities
Jungpil Shin, Najmul Hassan, Abu Saleh Musa Miah1 +1
Human Activity Recognition (HAR) systems aim to understand human behaviour and assign a label to each action, attracting significant attention in computer vision due to their wide…
EMG-Based Hand Gesture Recognition through Diverse Domain Feature Enhancement and Machine Learning-Based Approach
Abu Saleh Musa Miah, Najmul Hassan, Md. Maniruzzaman +2
Surface electromyography (EMG) serves as a pivotal tool in hand gesture recognition and human-computer interaction, offering a non-invasive means of signal acquisition. This study…