According to Securities Star news, data from the Tianyancha APP shows that Hikvision (002415) has recently obtained an ...

As artificial intelligence technology accelerates its penetration into various industries, Convolutional Neural Networks (CNN ...

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...

Researchers from Hebei University of Technology have developed an innovative approach to lithium-ion battery management that ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

With this bat-inspired technology, the potential to locate more survivors the next time an earthquake or wildfire strikes ...

Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention ...