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Maximum-Entropy Adversarial Audio Augmentation for Keyword Spotting
Data augmentation is a key tool for improving the performance of deep networks, particularly when there is limited labeled data.
Toward Efficient Transportation Electrification of Heavy-Duty Trucks: Joint Scheduling of Truck Routing and Charging
The timely transportation of goods to customers is an essential component of economic activities.
Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-grid Integration
In this paper, we propose a novel centralized allocation and decentralized execution (CADE) reinforcement learning (RL) framework to maximize the charging station's profit.
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