Multimodal detection of cyber-physical attacks against intelligent traffic signal controllers
A new simulation study presents GuardBox, a framework combining an LSTM autoencoder and random forest classifier to detect and attribute ...
A new simulation study presents GuardBox, a framework combining an LSTM autoencoder and random forest classifier to detect and attribute ...
A new framework called TinyRoute combines TinyML, reinforcement learning, and few-shot learning to achieve adaptive routing and zero-day attack detection ...
A new spatiotemporal model called RoST-Mamba combines adaptive graph learning, frequency-domain filtering and graph-constrained state-space modeling to keep traffic forecasts ...
A hybrid framework that lets a Proximal Policy Optimization agent switch among six search strategies cut simulated urban vehicle waiting ...
Dr. Steve Dellenback, vice president of Southwest Research Institute's Intelligent Systems Division, received the ITS World Congress Hall of Fame's ...
Malaysian researchers have built a hybrid CNN-LSTM traffic forecasting system that pairs deep learning accuracy with Formal Concept Analysis to ...
A new adaptive camera framework detects highway wrong-way drivers with 97.62 percent precision while automatically recalibrating after camera rotations and ...
Researchers have shown that sequences of telecom Location Area Codes recorded in ordinary Call Detail Records can be matched to ...
Researchers at Dalian Maritime University have developed ESTGCN, a graph neural network that dynamically rewires regional traffic relationships to deliver ...
Researchers have built a federated learning framework for intelligent transportation that combines semi-supervised pseudo-labeling, zk-SNARK update verification and blockchain auditing ...
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© 2026 Scienmag - Science Magazine