Abstract: This paper presents a smart agriculture automation system utilizing embedded systems as a cost-effective and sustainable solution for precision farming. The system integrates real-time ...
Abstract: This paper presents a systematic study on developing multi-template machine learning (ML) surrogate models and applying them to the inverse design of transformers (XFMRs) in radio-frequency ...
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