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 ...

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 ...

Abstract: Recently, federated learning frameworks such as Python TestBed for Federated Learning Algorithms and MicroPython TestBed for Federated Learning Algorithms have emerged to tackle user privacy ...

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 ...

The application of artificial intelligence in stock price forecasting is an important area of research at the intersection of finance and computer science, with machine learning techniques aimed at ...