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07/13/2023
Vehicle Dispatching and Routing of On-Demand Intercity Ride-Pooling Services: A Multi-Agent Hierarchical Reinforcement Learning Approach
The integrated development of city clusters has given rise to an increas...
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12/16/2022
Communication-Efficient Federated Learning for Heterogeneous Edge Devices Based on Adaptive Gradient Quantization
Federated learning (FL) enables geographically dispersed edge devices (i...
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06/07/2022
A Route Network Planning Method for Urban Air Delivery
High-tech giants and start-ups are investing in drone technologies to pr...
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12/10/2020
Data-driven Method for Estimating Aircraft Mass from Quick Access Recorder using Aircraft Dynamics and Multilayer Perceptron Neural Network
Accurate aircraft-mass estimation is critical to airlines from the safet...
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02/13/2020
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach
Multi-vehicle routing problem with soft time windows (MVRPSTW) is an ind...
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04/08/2019
Feature Learning Viewpoint of AdaBoost and a New Algorithm
The AdaBoost algorithm has the superiority of resisting overfitting. Und...
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10/24/2018
Multistep Speed Prediction on Traffic Networks: A Graph Convolutional Sequence-to-Sequence Learning Approach with Attention Mechanism
Multistep traffic forecasting on road networks is a crucial task in succ...
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10/07/2009
