Abstract: This study focuses on improving the operating efficiency and intelligent energy consumption control of elevator systems, and cleverly integrates the global optimization technology of ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...

In recent years, the growing demand for urban commuting has driven the rapid development of subway systems, which have been evolving toward higher density ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Start by setting the counter to the middle position in the list. If the value held there is a match, the search ends. If the value at the midpoint is less than the value to be found, the list is ...

Abstract: Recently, the nearest Kronecker product (NKP) decomposition-based normalized least mean square (NLMS NKP) algorithm has demonstrated superior convergence performance compared to the ...

The final, formatted version of the article will be published soon. Abstract: An intelligent control approach has been developed to address the problem of horizontal vibration control in high-speed ...

An interactive, modern CPU Scheduling Algorithm Simulator built with Streamlit, featuring real-time visualizations, comprehensive performance metrics, and AI-powered explanations using Google's Gemini ...

A comprehensive CPU scheduling simulator that implements and compares various scheduling algorithms. This educational tool helps visualize how different CPU scheduling algorithms work and their ...