Google and Meta discuss how AI is driving hyperscaler-led subsea fiber builds, stressing legacy systems, and creating new ...
Abstract: Gender recognition from facial images is challenging due to subtle discriminative features, particularly micro-expressions—brief, involuntary facial movements that exhibit gender-specific ...
Due to the intricate dynamic coupling between molecular networks and brain regions, early diagnosis and pathological mechanism analysis of Alzheimer's disease (AD) remain highly challenging. To ...
Our demo for skeleton based action recognition: ST-GCN is able to exploit local pattern and correlation from human skeletons. Below figures show the neural response magnitude of each node in the last ...
Abstract: Graph Convolutional Network (GCN)-based recommendation systems (RSs) have recently gained popularity for their ability to improve recommendation accuracy by utilizing neighborhood ...
Objective: Alzheimer’s disease (AD) is mainly identified by cognitive function deterioration. Diagnosing AD at early stages poses significant challenges for both researchers and healthcare ...
1 Department of Computer Science, College of Computer, Qassim University, Buraydah, Saudi Arabia. 2 MARS Research Laboratory LR17ES05, University of Sousse, Sousse, Tunisia. Currently, social ...