Results 51 to 60 of about 39,754 (281)

Improved Variational Mode Decomposition and One-Dimensional CNN Network with Parametric Rectified Linear Unit (PReLU) Approach for Rolling Bearing Fault Diagnosis

open access: yesApplied Sciences, 2022
As a critical component of rotating machinery, rolling bearings are essential for the safe and efficient operation of machinery. Sudden faults of rolling bearings can lead to unscheduled downtime and substantial economic costs.
Xiaofeng Wang   +5 more
doaj   +1 more source

A harmonic estimator design with evolutionary operators equipped grey wolf optimizer

open access: yes, 2020
Harmonic estimation is a challenging design problem in power networks. Accurate estimation of the inter, power and sub harmonics in networks can be a helpful aspect for designing potential solutions for elimination of these harmonics. Harmonic estimation
Mirjalili, S, Kumar, R, Saxena, A
core   +1 more source

Optimizing Stratification in Binary Colloidal Supraparticles

open access: yesAdvanced Science, EarlyView.
Supraparticles from binary particle populations show stratification when dried at high Péclet numbers. In spray‐dried systems at high initial particle concentration and fast drying conditions optimal combinations of particle size ratios and volume fractions that produce maximal stratification are found both in experiment and simulation, contrasting the
Frederic Rudlof   +5 more
wiley   +1 more source

Autonomous electric vehicle charging based on Grey Wolf Optimizer

open access: yes, 2023
LAUREA MAGISTRALEIl motivo di questa tesi, "Ricarica Autonoma di Veicoli Elettrici basata sull’Optimizzazione del Grey Wolf Optimizer," affronta la sfida critica dell’ottimizzazione della ricarica dei veicoli elettrici nel contesto delle moderne reti di ...
Tahir, Salah-Ud-Din
core  

An Improved Grey Wolf Optimizer with Multi-Strategies Coverage in Wireless Sensor Networks

open access: yesSymmetry
For wireless sensor network (WSN) coverage problems, since the sensing range of sensor nodes is a circular area with symmetry, taking symmetry into account when deploying nodes will help simplify problem solving.
Yun Ou   +5 more
semanticscholar   +1 more source

Zero Watermarking Using Convolutional Additive Self‐Attention Vision Transformer and Discrete Wavelet Transform‐Variance‐Based Feature Descriptor for Medical Image Security in Mobile Healthcare Services

open access: yesAdvanced Intelligent Systems, EarlyView.
A zero‐watermarking algorithm that combines a refined convolutional additive self‐attention vision transformer (CAS‐ViT) with a discrete wavelet transform variance‐based feature descriptor (DVFD) is proposed for protecting the privacy of medical images in mobile healthcare services.
Pei Liu   +6 more
wiley   +1 more source

A Review of Grey Wolf Optimizer-Based Feature Selection Methods for Classification

open access: yes, 2019
Feature selection is imperative in machine learning and data mining when we have high-dimensional datasets with redundant, nosy and irrelevant features.
Alhussian, Hitham   +9 more
core   +1 more source

Optimum Network Reconfiguration using Grey Wolf Optimizer

open access: yes, 2018
The objective of this paper is to determine an optimal network reconfiguration that presents the minimum losses considering network constraints using Grey Wolf Optimizer (GWO) algorithm.
Mohammedi, Ridha Djamel; University of Djelfa   +3 more
core   +3 more sources

Node coverage optimization algorithm for wireless sensor networks based on improved grey wolf optimizer

open access: yesJournal of Algorithms & Computational Technology, 2019
Aiming at the problem of wireless sensor network node coverage optimization with obstacles in the monitoring area, based on the grey wolf optimizer algorithm, this paper proposes an improved grey wolf optimizer (IGWO) algorithm to improve the ...
Zhendong Wang   +5 more
doaj   +1 more source

Diabetic Retinopathy Classification With Convolutional Neural Networks Designed by the Fuzzy Grey Wolf Optimizer With Parameter Adaptation

open access: yesAI &Innovation, EarlyView.
ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez   +2 more
wiley   +1 more source

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