A growing body of research is now focusing on the detection of fake or misleading product reviews, often referred to as spam ...

United States scientists have combined spatial and temporal attention mechanisms to develop a new approach for PV inverter ...

A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...

This project demonstrates how to build a deep Convolutional Neural Network (CNN) for image classification. The model is designed to classify images into distinct categories using a deep learning ...

Marine researchers exploring extreme depths say they have discovered an astonishing deep-sea ecosystem of chemosynthetic life that’s fueled by gases escaping from fractures in the ocean bed. The ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

See the last known footage of New Zealand fugitive before he was shot by police ...

Local contacts help CNN Senior National Correspondent David Culver and team navigate through rival gang territory in Tres Postas, Ecuador, and a top commander agrees to speak to his role in the ...

Hands-on machine learning course with Python covering supervised learning (SVM, regression), unsupervised learning (K-Means, IRIS dataset), and deep learning (CNNs) using scikit-learn and TensorFlow.

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 ...