Research and innovation in Texas A&M University's biomedical engineering department often centers around clinical impact on ...
Abstract: Deep learning-based image classification models have been widely applied in the Industrial Internet of Things (IIoT), but studies have shown that adversarial attacks can cause ...
LLM-Based Data Augmentation Method in Reinforcement Learning With Machine-Unlearning and Fine-Tuning
Abstract: Data augmentation in reinforcement learning (RL) aims to generate diverse and extensive datasets to enhance the learning process. Most existing studies on RL augmentation employ sample-based ...
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