IEEE

Dynamic Spatial-Temporal Graph Convolutional Neural Networks Approach for Active Mode Traffic Prediction

Abstract: Accurate short-term predictions of active mode traffic are crucial for effective urban traffic control and management, helping to reduce delays, stops, and improve travel time reliability, ...

Physicists realize time-varying strong coupling in a magnonic system

Time-varying systems, materials with properties that change over time, have opened new possibilities for the experimental ...

China State Construction Fourth Engineering Division South Construction Applies for Low-Carbon Data Center Patent, Innovating Thermal Load Prediction Technology

Combination of Multi-Modal Sensors and Spatio-Temporal Graph Convolutional Networks The core content of the patent involves a novel low-carbon control method that utilizes a multi-modal sensor network ...

Changan Automobile Applies for Driving Style Recognition Patent: Can Expert Models Revolutionize Future Driving Experience?

Changan Automobile Applies for Driving Style Recognition Patent, Leading a New Trend in Intelligent Driving ...
Frontiers

Convolutional neural networks decode finger movements in motor sequence learning from MEG data

1 Institute of Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia 2 Department of Learning, Data Analytics and Technology, Section Cognition, Data and ...
Frontiers

Multi-pollutant air quality forecasting using bidirectional attention and multi-scale temporal networks

1 Department of Electrical Engineering, Universiti Malaya, Kuala Lumpur, Malaysia 2 Faculty of Engineering and Information Technology, Southern University College, Skudai, Malaysia Introduction: ...
C&EN

Pocket Electronic Nose Integrating an Ultra-Compact Sensor Array Chip and Spatiotemporal Network Enables Highly Selective Gas Sensing

School of Microelectronics and Communication Engineering, Chongqing Key Laboratory of Bio-perception & Intelligent Information Processing, Chongqing University, Chongqing 401331, P. R. China ...
GitHub

temporal-convolutional-networks

Real-time American Sign Language (ASL) recognition system using PyTorch and MediaPipe. Recognizes 25 common ASL gestures with 76.05% accuracy, optimized for RTX4070 GPUs. Features live webcam ...
IEEE

Capturing Global Structural Features and Global Temporal Dependencies in Dynamic Social Networks Using Graph Convolutional Networks for Enhanced Analysis

Abstract: Modeling and analysis of complex social networks is an important topic in social computing. Graph convolutional networks (GCNs) are widely used for learning social network embeddings and ...