8 papers
Predictive Analytics for Dementia: Machine Learning on Healthcare Data
Shafiul Ajam Opee, Nafiz Fahad, Anik Sen +4
Dementia is a complex syndrome impacting cognitive and emotional functions, with Alzheimer's disease being the most common form. This study focuses on enhancing dementia prediction…
BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring
Rajan Das Gupta, Md Kishor Morol, Nafiz Fahad +3
As the global burden of Alzheimer's disease (AD) continues to grow, early and accurate detection has become increasingly critical, especially in regions with limited access to adva…
DyCAF-Net: Dynamic Class-Aware Fusion Network
Md Abrar Jahin, Shahriar Soudeep, M. F. Mridha +2
Recent advancements in object detection rely on modular architectures with multi-scale fusion and attention mechanisms. However, static fusion heuristics and class-agnostic attenti…
GANDiff FR: Hybrid GAN Diffusion Synthesis for Causal Bias Attribution in Face Recognition
Md Asgor Hossain Reaj, Rajan Das Gupta, Md Yeasin Rahat +3
We introduce GANDiff FR, the first synthetic framework that precisely controls demographic and environmental factors to measure, explain, and reduce bias with reproducible rigor. G…
ViMoNet: A Multimodal Vision-Language Framework for Human Behavior Understanding from Motion and Video
Rajan Das Gupta, Lei Wei, Md Yeasin Rahat +3
This study investigates the use of large language models (LLMs) for human behavior understanding by jointly leveraging motion and video data. We argue that integrating these comple…
AdeptHEQ-FL: Adaptive Homomorphic Encryption for Federated Learning of Hybrid Classical-Quantum Models with Dynamic Layer Sparing
Md Abrar Jahin, Taufikur Rahman Fuad, M. F. Mridha +2
Federated Learning (FL) faces inherent challenges in balancing model performance, privacy preservation, and communication efficiency, especially in non-IID decentralized environmen…