Abstract: This study addresses the issue of forecasting active and reactive power consumption at a mining and processing plant, aiming to improve the efficiency of energy resource management. It ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: Environmental planning, hazard monitoring, and coastal management depend critically on accurate shoreline definition. This work utilizes high-resolution UAV data to develop a deep learning ...

Mobile Fortify app being used to scan faces of citizens and immigrants – but its use has prompted a severe backlash Immigration enforcement agents across the US are increasingly relying on a new ...

Data plays a crucial role in training learning-based methods for 3D point cloud registration. However, the real-world dataset is expensive to build, while rendering-based synthetic data suffers from ...

For transient stability analysis (TSA) of a multi-machine power system, the extended equal area criterion (EEAC) method applies the classic equal area criterion (EAC) concept to an approximate ...