👉 Complete articles on Geometric Deep Learning, Graph Neural Networks, Topological Data Analysis with exercises are available on my Substack newsletter Hands-on Geometric Deep Learning The authors ...
Accurate joint kinematics estimation is essential for understanding human movement and supporting biomechanical applications. Although optical motion capture systems are accurate, their high cost, ...
Source: mariya_m / Pixabay The most profound reading experience I've had was the book Flow, by Mihaly Csikszentmihalyi (say that three times fast). It was taught in a Brown University psychology intro ...
In this study, we highlight the need for gaze estimation technology capable of controlling user interfaces using only a laptop’s built-in camera—without any additional equipment—even in hands-free ...
Vegetation fires are most common in Southeast Asian (SEA) countries, causing biodiversity loss, habitat destruction, and air pollution. Accurately predicting fire occurrences in SEA remains ...
Department of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, China ...
A two-level resolution neural network with enhanced interpretability for freeway traffic forecasting
Deep learning models are widely used for traffic forecasting on freeways due to their ability to learn complex temporal and spatial relationships. In particular, graph neural networks, which integrate ...
Department of Chemistry, University of Toronto, 80 St. George St, Toronto, Ontario M5S 3H6, Canada Department of Computer Science, University of Toronto, 40 St. George St, Toronto, Ontario M5S 2E4, ...
MONTI: A Multi-Omics Non-negative Tensor Decomposition Framework for Gene-Level Integrative Analysis
Multi-omics data is frequently measured to enrich the comprehension of biological mechanisms underlying certain phenotypes. However, due to the complex relations and high dimension of multi-omics data ...
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