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 ...

Information Center of Guangdong Power Grid Co., Ltd., Guangzhou, China Introduction: To address the issues of concept drift and scarcity of anomaly samples in real-time anomaly detection under the ...

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 ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

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 ...

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...

Abstract: Anomaly detection is one of the crucial research topics in artificial intelligence, encompassing various fields such as health monitoring, network intrusion detection, and fraud detection in ...

Digital timecards are widely used in construction to track labor hours, equipment usage, and productivity, yet they are prone to outliers caused by human error, inconsistent reporting, and interface ...

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 ...

Kenya Forest Service (KFS) has launched a probe into reports of a python being spotted in Karura Forest in the course of the week, citing that photos circulating online are yet to be authenticated.