4 citations · 4 across the 2 of their papers we have counts for
5 papers
MAC-Net: A Multi-Task Deep Learning Framework for Modeling Cognitive Function From Task-Based fMRI
Md. Tanvir Rahman, Nabil Anan Orka, Asaduzzaman Khan +1
Objective cognitive assessment from neural signals supports neurorehabilitation, but individual-level prediction from task-based fMRI (tfMRI) remains difficult because neural featu…
Temporal Graph Learning of Wearable Actigraphy and Sleep Traces for Modelling Adolescent Crystallized Intelligence
Md. Tanvir Rahman, Nabil Anan Orka, Asaduzzaman Khan +1
Wearable actigraphy offers a scalable, ecologically valid alternative to episodic clinical assessment. However, predicting continuous adolescent crystallized intelligence () f…
Explainable Deep Learning of Resting-State Functional Connectomes Reveals Network Biomarkers of Adolescent Intelligence
Md. Tanvir Rahman, Nabil Anan Orka, Asaduzzaman Khan +1
Mapping resting-state brain organization to individual differences in cognitive ability remains a major challenge in population neuroinformatics. Although deep learning enables fle…
QuanvNeXt: An end-to-end quanvolutional neural network for EEG-based detection of major depressive disorder
Nabil Anan Orka, Ehtashamul Haque, Maftahul Jannat +2
This study presents QuanvNeXt, an end-to-end fully quanvolutional model for EEG-based depression diagnosis. QuanvNeXt incorporates a novel Cross Residual block, which reduces featu…
An Enhanced Gradient Based Optimized Controller for Load Frequency Control of a Two Area Automatic Generation Control System
Nabil Anan Orka, Sheikh Samit Muhaimin, Md. Nazmush Shakib Shahi +1
This work proposes the adoption of Enhanced Gradient-Based Optimizer (EGBO) as a new approach to the Load Frequency Control (LFC) problem in a two-area interconnected power system.…