Abstract: Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses. This article presents a ...
Abstract: Federated Learning (FL) is an emerging computing paradigm to collaboratively train Machine Learning (ML) models across multi-source data while preserving privacy. The major challenge of ...
Whether you’re camping for a few days, doing a day hike, or heading out for a weekend trek, the same rule always applies equally: pack light, carry less. That’s why multifunctional tools are so ...
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