Transfer Learning for Anomaly Detection in Rotating Machinery Using Data-Driven Key Order Estimation
Abstract: The detection of anomalous behavior of an engineered system or its components is an important task for enhancing reliability, safety, and efficiency across various engineering applications.
V3.2, a family of open-source reasoning and agentic AI models. The high compute version, DeepSeek-V3.2-Speciale, performs ...
Abstract: In this paper, we introduce a novel wideband CMOS low noise amplifier (LNA) that employs a current-reuse stacked inverter (CRSI) in conjunction with advanced inductive peaking to ...
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