Abstract: [Purpose] In the research of data mining, anomaly detection algorithms can accurately find samples of abnormal behaviors to achieve the purpose of data mining. the isolation forest algorithm ...

Winter weather and isolation: Understanding the "winter blues" with Forest View Hospital Lindsey Graham holds up government funding because he wants to sue DOJ for millions Enormous freshwater ...

In “The Oak and the Larch,” Sophie Pinkham examines a vast history and culture through the branches of its ancient trees. By Joshua Hammer Joshua Hammer is the author of “The Mesopotamian Riddle: An ...

ABSTRACT: Modern Security Operations Centers (SOCs) face the dual challenge of identifying zero-day threats in high-throughput network streams and mitigating analyst alert fatigue. This paper proposes ...

Photoshop tutorial showing how to make natural-looking sunbeams filtering through forest trees. Rescue helicopter returns to Oregon town following Trump administration lawsuit Fetterman’s poll numbers ...

AI-driven process monitoring enhances the qualification of additively manufactured stainless-steel parts. By analysing high-frequency welding current and voltage signals in both the time and frequency ...

The study “Smart Grid Cybersecurity: Anomaly Detection in Solar Power Systems Using Deep Learning” is the joint effort of researchers from Noida International University and Dayananda Sagar University ...

ABSTRACT: Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated ...

As urban health systems increasingly integrate digital technologies, a new study has unveiled a hybrid architecture that leverages both artificial intelligence and blockchain to dramatically enhance ...

Abstract: Nowadays, Unmanned Aerial Vehicle (UAV) platforms are a valuable source of data for inspection, surveillance, mapping, and 3D modeling issues. Embedded electronic and communication systems ...