Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...

To address the issues of insufficient control parameter identification accuracy and convergence speed during the grid connection of distributed power sources, a control parameter identification method ...

Rasmus Kyng and his team developed an ultra-fast network flow algorithm that can compute the optimal traffic flow in real-time, regardless of network size or complexity. This breakthrough, combining ...

Sports betting has evolved from simple wagers on game outcomes into a data-driven industry built around statistical analysis and predictive modeling. One of the most influential tools in this shift is ...

This repository contains a Python implementation of the Teaching Learning-based Optimization (TLBO) algorithm. TLBO is a stochastic population-based optimization method inspired by classroom learning ...

With the development of satellite miniaturization, intelligence, and clustering, a single satellite platform can no longer support high-power detection equipment. Monocular angle-only cameras have ...

Abstract: It is generally observed that students always find the difficulty in understanding and studying the algorithms of any course. Algorithm part of any course can be taught using a flowchart ...

Abstract: This paper proposes a multi-objective Gannet Optimization Algorithm (MOGOA) to address the issue of unbalanced train occupancy rates in railway train operation planning. MOGOA employs an ...

Can we ever really trust algorithms to make decisions for us? Previous research has proved these programs can reinforce society’s harmful biases, but the problems go beyond that. A new study shows how ...