AI method accelerates liquid simulations by learning fundamental physical relationships

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...
IEEE

Prediction of False Data Injection Attacks in Smart Grid using AdaBoost, Deep Learning, and KNN

Abstract: With the advancement and application of computing in electrical infrastructure, all traditional electrical grids are transforming into Smart Grid. Modern Smart Grid are more efficient than ...
IEEE

K-Nearest Neighbor Algorithm Based on the Framework of Ordered Pair of Normalized Real Numbers

Abstract: The K-nearest neighbors (kNNs) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...