A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and ...

Machina Labs has been awarded a contract by the US Air Force Research Laboratory (AFRL) aimed at enhancing the capabilities ...

Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from ...

Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of ...

Understanding machine learning modifies cold atmospheric plasma medicine delivery in cancer treatments without being trained on detailed plasma parameters.

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

A comprehensive MATLAB/Simulink implementation of a Doubly-Fed Induction Generator (DFIG) wind power system with integrated energy storage, featuring advanced control strategies, professional GUI ...

Abstract: With the expansion of cyber assets in modern power systems, cyber vulnerabilities and the attack surface have significantly increased. This paper presents an anomaly identification scheme to ...

Abstract: The growing digitalization of power transmission systems has introduced vulnerabilities to cyberattacks, particularly sensor manipulation, which can compromise control center monitoring and ...

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 ...