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 ...

The engineering landscape is shifting fast. Technologies keep evolving, and industries now want engineers who don’t just know ...

An underwater volcano off the coast of Oregon is gearing up for an eruption, according to scientists who are monitoring for activity.

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 ...

This paper contains the study of modulation identification for both analog and digital signals using convolution neural network. Modulation classification involves identifying the modulation scheme ...

Microsoft researchers achieved a breakthrough in the accuracy of DFT, a method for predicting the properties of molecules and materials, by using deep learning. This work can lead to better batteries, ...

Deep learning has emerged as a promising solution to address this challenge over the past decade. This review provides a comprehensive guide to applying deep learning methodologies and tools in ...