The use of machine learning (ML) and artificial intelligence (AI) in power converters represents the latest development in ...
Electrical distribution systems are characterized by dynamic operating conditions and complex network topologies, which pose ...
An international research team developed CyberSentry, a software framework using advanced deep learning and optimization ...
Abstract: We present an attention-based transformer learning approach for dynamic resource allocation in multi-carrier non-orthogonal multiple access (NOMA) downlink systems. We propose transformer ...
Abstract: Power transformers serve as indispensable elements in nearly every electrical power system. Ensuring the continuous operation of power transformers is pivotal in maintaining the reliability ...
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