activity
20242026
collaborators

21 papers

cs.AI2026

The Role of Natural Language Understanding in Multimodal Video-Based Dengue Diagnosis

Danial Sharifrazi, Saadat Behzadi, Julakha Jahan Jui +5

Detecting infection-related behavioral changes in mosquitoes from video data is challenging because mosquitoes are small, move rapidly and irregularly, and are affected by environm…

cs.CV2026

A Hybrid Framework of Vision Transformer and Gated Recurrent Unit for Detection of Mosquito Diseases

Danial Sharifrazi, Saadat Behzadi, Nouman Javed +3

Identifying dengue virus-infected mosquitoes from control mosquitoes is a major challenge in analyzing mosquito locomotion behavior due to the small size and complexity of the vide…

q-bio.NC2026

NeuroStrata: An Electroencephalographic Connectivity-Aware Deep Representation Learning Framework for Dynamic Brain Network Analysis of Mental Stress

Sayantan Acharya, Hamzeh Asgharnezhad, Abbas Khosravi +3

This study introduces NeuroStrata, a connectivity-aware deep representation learning framework for EEG-based mental stress analysis using Time-Varying Partial Directed Coherence (T…

cs.NE2026

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming

Ali Kohan, Mohamad Roshanzamir, Roohallah Alizadehsani +1

Recent advancements in agentic AI have increasingly moved toward graph-based methods, driven by the demand for explainable, human-centered, and non-linear reasoning workflows. A pr…

cs.LG2026

Advancements in Machine Learning and Deep Learning for Early Detection and Management of Mental Health Disorder

Kamala Devi Kannan, Senthil Kumar Jagatheesaperumal, Rajesh N. V. P. S. Kandala +3

For the early identification, diagnosis, and treatment of mental health illnesses, the integration of deep learning (DL) and machine learning (ML) have started playing a significan…

cs.NI2026

A Q-learning-based QoS-aware multipath routing protocol in IoMT-based wireless body area network

Mehdi Hosseinzadeh, Roohallah Alizadehsani, Amin Beheshti +7

The Internet of Medical Things (IoMT) enables intelligent healthcare services but faces challenges such as dynamic topology, energy constraints, and diverse QoS requirements. This…