The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.
Abstract: This paper presents a systematic approach to enhancing ISO 26262, a widely adopted standard for automotive functional safety, by integrating Machine Learning (ML)-specific life cycle phases ...
Abstract: Mutual coupling in nonuniform antenna arrays is much more complicated and difficult to describe than their uniform counterparts. Therefore, traditional nonuniform antenna array synthesis ...
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