Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Abstract: Deep learning is a powerful technique for data-driven learning in the era of Big Data. However, most deep learning models are deterministic models that ignore the uncertainty of data. Fuzzy ...
For transient stability analysis (TSA) of a multi-machine power system, the extended equal area criterion (EEAC) method applies the classic equal area criterion (EAC) concept to an approximate ...
Abstract: Modern deep neural networks, particularly recent large language models, come with massive model sizes that require significant computational and storage ...
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