A joint optimization approach using SOCP for UAV trajectories, DRL-LLM for resource scheduling, and LP for offloading achieves higher task success rates and system efficiency than multi-agent RL baselines in simulated dense urban IoV environments.
Velocity-adaptive access scheme for semantic-aware vehicular networks: Joint fairness and AoI optimization
2 Pith papers cite this work. Polarity classification is still indexing.
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SweetFruit combines ToF point cloud classification (over 90% accuracy) with NIR regression (0.57 Brix RMSE, 22% error reduction) for real-time non-contact fruit sugar estimation on apples and strawberries.
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Joint Optimization of Trajectory Control, Resource Allocation, and Task Offloading for Multi-UAV-Assisted IoV
A joint optimization approach using SOCP for UAV trajectories, DRL-LLM for resource scheduling, and LP for offloading achieves higher task success rates and system efficiency than multi-agent RL baselines in simulated dense urban IoV environments.
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SweetFruit: A Two-Stage Mobile Sensing System for Real-Time Fruit Sugar Estimation
SweetFruit combines ToF point cloud classification (over 90% accuracy) with NIR regression (0.57 Brix RMSE, 22% error reduction) for real-time non-contact fruit sugar estimation on apples and strawberries.