This article digs into how machine learning (ML) and artificial intelligence (AI) contribute to the optimization of green ...

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 ...

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 ...

Our planet’s forests are undergoing a transformation that researchers are only now beginning to fully understand. Between 2001 and 2020, scientists tracked dramatic shifts in how forests are managed ...

School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China. The rapid expansion of the Internet of Things (IoT), cloud computing, and remote work ...

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 treatment of diabetic macular oedema (DMO) likely involves a series of treatment episodes separated by gaps during which no vascular endothelial growth factor inhibitor injections are delivered.

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: 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 ...