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

According to the latest information from the National Intellectual Property Administration, Yunnan Rongchuang Intelligent Technology Co., Ltd. applied for a patent titled "An Artificial ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...

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

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 ...

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 ...

Ruinous fires across the West often lead to smoke-filled days with flames tearing through large swaths of natural land. While most of these fires are started by people, many fires start because of ...