Abstract: Deep neural networks (DNNs) have achieved satisfactory performance in multiple fields. However, recent studies have shown that DNNs can be easily fooled by adversarial examples. To mitigate ...
Abstract: Transfer learning has shown great potential in accelerating Multi-Agent Reinforcement Learning (MARL) training by adapting agent policies to varying input and output dimensions across tasks ...
Thus, there is a growing demand for advanced and automated approaches to streamline the classification process. Objective: This study aimed to develop and validate an intelligent system for ...
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