Deep Learning and Blockchain Improve Secure Vehicle Routing
A new framework combining deep reinforcement learning and blockchain improves packet delivery and security in Vehicular Ad Hoc Networks.
A new framework combining deep reinforcement learning and blockchain improves packet delivery and security in Vehicular Ad Hoc Networks.
Researchers have developed CellMigrationGym, an open computational framework that combines deep reinforcement learning and three-dimensional live imaging to investigate how ...
A simulation study shows deep reinforcement learning signal control reduces arterial vehicle waiting times by up to 18 percent and ...
A new algorithm uses deep reinforcement learning to adaptively select constraint handling techniques and search strategies for constrained multiobjective optimization, ...
A new study proposes a TD3-based intelligent terminal guidance law that uses Bi-LSTM trajectory prediction to improve missile interception of ...
A deep reinforcement learning framework utilizing high-fidelity digital twins optimizes cooling costs and maintains thermal stability in two Danish data ...
A new hybrid review and original research article in Discover Vehicles presents a unified AI framework for intelligent sustainable mobility, ...
A multi-seed walk-forward study finds that MLP, CNN, LSTM and Transformer encoders in a PPO framework show no reliable Sharpe-ratio ...
Researchers developed a hybrid deep reinforcement learning framework that dynamically adjusts proportional–integral–derivative gains to enhance navigation stability and tracking precision ...
A deep multi-agent reinforcement learning framework that jointly coordinates electric vehicle charging, traffic routing and grid dispatch cut total system ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine