Recent reports estimate that these attacks cost utility providers approximately 101 billion dollars annually. This study presents an approach for anomaly detection in smart grids through energy ...

Beauty AI integrates a multi-stage enhancement model that focuses on facial texture reconstruction and adaptive resolution scaling. Using a deep convolutional neural network, the system restores ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Math Magic has officially launched Hitem3D (hitem3d.ai), the world’s first AI-powered tool for 3D content creation that ...

Pretrained jet foundation models can successfully be utilized on a new dataset and on a new set of tasks: the multi-task hadronically decaying tau reconstruction problem.

During the operation of the lifting system, rigid guide contour laser stripe images are captured, and a laser and machine vision fusion reconstruction model is derived to complete the 3-D ...

The detection of trace isoprene in breath provides a noninvasive method for lung cancer diagnosis. However, the presence of interfering components and the parts per billion (ppb) concentration levels ...

This study introduces a Q-learning-based nonlinear model predictive control (QL-NMPC) framework for temperature control in batch reactors. A reinforcement learning agent is trained in simulation to ...