Graph Neural Network Model Predicts City Traffic Flow and Congestion With High Accuracy
A new open access study reports a spatio-temporal graph convolutional network that predicted traffic flow with 97.99% precision and congestion ...
A new open access study reports a spatio-temporal graph convolutional network that predicted traffic flow with 97.99% precision and congestion ...
Researchers in Beijing have unveiled a cloud–edge scheduling framework that combines zero-knowledge range proofs with LSTM-based congestion prediction, cutting industrial ...
Researchers have developed an AI-driven scheduler that predicts congestion in edge-cloud environments before it happens, cutting response times and protecting ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine