Machine learning models are designed to analyze large, heterogeneous datasets and identify complex relationships without ...
Abstract: The dc arc fault is one of the typical faults in photovoltaic (PV) systems, which can lead to fire accidents in several cases. Therefore, it is necessary to develop an effective arc fault ...
Nvidia is spending its market valuation windfall not on random diversification but on buying the knobs and levers that decide ...
The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
When classic 2D scaling dominated, the industry’s center of gravity was disinflationary: Chip average selling prices (ASPs) trended lower, and wafer fab equipment (WFE) growth was intermittent. In ...
The field of oncology has seen significant advancements in understanding and treating various types of cancers. One such area ...
Penn State researchers have developed a new artificial intelligence framework with potential implications for fields ranging from Alzheimer’s disease research to advanced materials design. The ...
The 3D-IC market outlook is entering a decisive phase as the semiconductor industry transitions beyond the limits of traditional Moore’s Law scaling. As performance, power efficiency, and system ...
Abstract: This paper explores the consensus control for heterogeneous multi-agent systems (MASs) subject to two-channel cyber-attacks over a directed network. A consensus control is a cooperative ...
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