This paper introduces an innovative approach to optimizing the designs of cantilever beams for sensor applications. It combines machine learning techniques with quasi-Newton optimization methods.
Abstract: This paper presents a Deep Q-Learning (DQL) approach to enhance traffic rerouting in urban vehicular networks. The objective is to develop a dynamic route planning system that adapts to real ...
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