Abstract: In this article, an adaptive accelerated derivative-free optimization algorithm is developed. A composition of noncommutative maps based on objective function evaluations is used to ...

When Ben Rosenfeld started working as a residential assistant at a Stanford University dorm, he encountered 77 freshmen possessed by an “all-consuming” force. His new gig coincided with the release of ...

Instagram Reels use engagement data to personalise short video content The app allows users to reset suggested content within the app The reset option is found under ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Abstract: To address the limitations that the fundamental black-winged kite optimization algorithm tends to drop into local optimum and the optimization accuracy is insufficient., a multi-strategy ...

A production-grade machine learning system to predict next-month grain consumption for the Annapurti distribution system. This project uses historical transaction data to forecast demand at the Smart ...