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

Harmonic is one of the most important concepts on the power system that cannot be neglected since it can affect the power quality and operation of equipment. High levels of Harmonics in the system may ...

Scientists in Japan have developed a new, highly efficient method for designing wireless power transfer (WPT) systems. Based on machine learning, the method enables a system to maintain stable voltage ...

K-Means Algorithm, Influenza Transmission, Cluster Analysis, Urban Characteristics Share and Cite: Ye, S. (2025) Application ...

The United States hopes to use machine learning to create and distribute propaganda overseas in a bid to “influence foreign target audiences” and “suppress dissenting arguments,” according to a U.S.

The U.S. planetary science community is sounding the alarm about plans to discard a nuclear technology that has powered dozens of NASA missions over the past 50 years But RPS is expensive, costing ...