Abstract: Globally, the consistent clamor by environmentalists for the need to mitigate the effects of climate change has necessitated the adoption of renewable energy sources (RES) for use by many ...

Abstract: As the frequency stability problem of modern power systems is prominent, rapidly and accurately predicting the frequency features of post-disturbance power system is of great significance ...

Freshwater ecosystems worldwide have been suffering from declining oxygen levels—a trend known as deoxygenation—that ...

Forbes contributors publish independent expert analyses and insights. Dara-Abasi Ita covers AI in boring asset classes and boring markets. This voice experience is generated by AI. Learn more. This ...

This project is targeting people who want to learn internals of ml algorithms or implement them from scratch. The code is much easier to follow than the optimized libraries and easier to play with.

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Six ML algorithms (Extreme Gradient Boosting [XGBoost], logistic regression (LR), Light Gradient Boosting Machine [LightGBM], random forest [RF], support vector machine [SVM], and k-nearest neighbor ...

Six machine learning algorithms—k-nearest neighbors, naive Bayes, multilayer perceptron, random forest, support vector machine, and Extreme Gradient Boosting (XGBoost)—were developed using 10-fold ...