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.
22. The Instagram post below, shared in January from the Hero Desert Dubai Classic, made me smile.
Learn how to store digital car keys on your Android smartwatch. Unlock and start your BMW, Kia, or Pixel-compatible car using ...
HumorReject is a novel approach to decouple LLM safety from refusal prefixes by using humor as an indirect refusal strategy. This repository contains the code, dataset for the paper: HumorReject: ...
The all-new Kindle Scribe lineup is thinner, lighter, and faster with new productivity features, including AI-powered notebook search. Today, we’re thrilled to reveal our new Kindle Scribe lineup, ...
The new ChatGPT 5.2 AI model delivers strong performance in professional knowledge work tasks like creating spreadsheets and building presentations. GPT-5.2 Thinking is also very capable at coding, ...
On the night of November 19, residents from South Holland, Dixmoor, Dolton, and other nearby south-suburban communities gathered outside Thornwood High School. In a line extending onto the sidewalk, ...
As software projects progress, quality of code assumes paramount importance as it affects reliability, maintainability and security of software. For this reason, static analysis tools are used in ...
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