In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
Aerospace and Mechanical Insider on MSN
Explorative PSO for drone swarms in occluded target tracking
In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...
Water distribution network (WDN) optimization has received special attention from various technicians and researchers, mainly due to its high costs of implementation, operation and maintenance.
Surrogate Sample-Assisted Particle Swarm Optimization for Feature Selection on High-Dimensional Data
Abstract: With the increase of the number of features and the sample size, existing feature selection (FS) methods based on evolutionary optimization still face challenges such as the “curse of ...
PSOSAC: Particle Swarm Optimization Sample Consensus Algorithm for Remote Sensing Image Registration
Abstract: Image registration is an important preprocessing step for many remote sensing image processing applications, and its result will affect the performance of the follow-up procedures.
Written by Sayali Paseband, Senior Security Consultant, Verisk. In the ever-evolving landscape of cybersecurity, where threats are becoming more sophisticated, advanced, and pervasive, conventional ...
Bearings are the most basic and important mechanical parts. The stable and safe operation of the equipment requires bearing fault diagnosis in advance. So, bearing fault diagnosis is an important ...
Particle Swarm Optimization (PSO) is a metaheuristic algorithm used for optimising nonlinear continuous functions. PSO is inspired by the social behaviour of animal groups, showcasing knowledge ...
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