Abstract: Accurate prediction of the remaining useful life (RUL) of hydraulic turbines is crucial for optimizing maintenance, reducing downtime, and enhancing operational efficiency. This study ...

Overview This repository contains a Siamese LSTM architecture implementation for stock return prediction. The model uses two parallel LSTM branches to process: Individual firm characteristics Common ...

Microsoft reportedly plans to begin using Anthropic's latest Claude models to power some of the Copilot features in its Office 365 apps. In a report published Tuesday, The Information said the tech ...

Sept 5 (Reuters) - Technology giant Apple (AAPL.O), opens new tab was accused by authors in a lawsuit on Friday of illegally using their copyrighted books to help train its artificial intelligence ...

Create a conda environment and install dependencies: conda create -n TBA-CLIPNet python=3.11 conda activate TBA-CLIPNet # Install the according versions of torch and ...

"Seriously," remarked Tarence Ray of the "Trillbillies" podcast in a post on X, "how is this guy supposed to get a fair trial at this point[?]" "Prison industrial complex meets fast fashion industrial ...

The company has since taken down the image of the accused killer. Fast fashion giant Shein is conducting an investigation of its internal processes after using the likeness of Luigi Mangione to model ...

The information on this website is for educational purposes only, and investing carries risks. Always do your research before investing, and be prepared for potential losses. 18+ and Gambling: Online ...

Electric vehicles have become more and more a part of my work at Car Talk and Torque News. Here at Torque News, we routinely do in-depth automotive product tests of all sorts. Tires, EV chargers, and ...

Abstract: Tackling air pollution necessitates sophisticated monitoring and prediction strategies, which can be achieved by machine learning (ML) techniques. By collecting real-time data throughout the ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...