EurekAlert!

Energy learning hyper-heuristic algorithm for cooperative task assignment of heterogeneous UAVs under complex constraints

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
Scientific Research Publishing

Santana, G.A., Goedtel, A., Santana, G.A., Martinez, C.A.P. and Goedtel, A. (2023) Parameter Identication in Three-Phase Induction Motor Aided by Halton-Chaos-

ABSTRACT: Induction motors are widely employed in industrial applications due to their robustness, speed consistency, and cost efficiency. However, during startup, they draw a high inrush current that ...
Scientific Research Publishing

Mohammadi, A., Tamaskani, R., Mosayyebi, S.R. and Ajoudani, M. (2015) Parameter Estimation of Induction Motors by PSO Algorithm. Science International, 27, 141-145.

ABSTRACT: Induction motors are widely employed in industrial applications due to their robustness, speed consistency, and cost efficiency. However, during startup, they draw a high inrush current that ...
The New York Times

I’m Building an Algorithm That Doesn’t Rot Your Brain

new video loaded: I’m Building an Algorithm That Doesn’t Rot Your Brain transcript Jack Conte, the chief executive of Patreon, a platform for creators to monetize their art and content, outlines his ...
ahajournals.org

Abstract 4340723: Comparative Study of Coronary Artery Disease (CAD) Prediction: Conventional QRISK3 vs. Enhanced Machine Learning Models Combined with Particle Swarm ...

Background: Coronary Artery Disease (CAD) is one of the biggest causes of mortality worldwide. Risk stratification for early detection is essential for the primary prevention of CAD. QRISK3 is known ...
IEEE

PSO-Algorithm-Assisted Attack-Compensated Control for 2-D Fuzzy Systems Under Cyber Attacks

Abstract: The study investigates the problem of attack-compensated control for two-dimensional (2-D) fuzzy systems modeled by the Roesser framework, subject to the constraints of limited communication ...
Frontiers

Development of an upper limb muscle strength rehabilitation assessment system using particle swarm optimisation

Purpose: This study develops a particle swarm optimization (PSO)-based assessment system for evaluating upper extremity and shoulder joint muscle strength with potential application to stroke ...