An Efficient Pattern Mining Convolution Neural Network (CNN) algorithm with Grey Wolf Optimization (GWO) [PDF]
Automation of feature analysis in the dynamic image frame dataset deals with complexity of intensity mapping with normal and abnormal class. The threshold-based data clustering and feature analysis requires iterative model to learn the component of image frame in multi-pattern for different image frame data type.
Aatif Jamshed +2 more
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Grey wolf optimizer and hybrid PSO‐GWO for reliability optimization and redundancy allocation problem [PDF]
AbstractAnalysis and optimization of system reliability have very much importance for developing an optimal design for the system while using the available resources. Several studies are centered towards reliability optimization using metaheuristics. In this study, a recently developed metaheuristic optimization algorithm called hybrid PSO‐GWO (HPSGWO)
Ashok Bhandari, Akshay Kumar, Mangey Ram
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Iterative localization method for multiple jammers in UAV collaborative jamming attacks [PDF]
To achieve multi-jammer localization in a collaborative jamming attack scenario involving UAVs, this paper designs a multi-jammer iterative localization algorithm based on error minimization and proposes a multi-strategy improved grey wolf optimizer ...
Li Huang +4 more
doaj +2 more sources
IMPLEMENTASI ALGORITMA GREY WOLF OPTIMIZER (GWO) UNTUK PEMODELAN INVERSI 1D DATA MAGNETOTELLURIK
Magnetotellurik (MT) merupakan metode geofisika pasif yang memanfaatkan variasi medan elektromagnetik alami untuk memetakan struktur resistivitas bawah permukaan bumi. Metode ini mampu menjangkau kedalaman hingga puluhan kilometer dan sensitif terhadap kontras resistivitas, sehingga banyak digunakan dalam eksplorasi sumber daya alam seperti geotermal ...
Wahyu Eko Junian +2 more
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Grey wolf optimizer with self-repulsion strategy for feature selection [PDF]
Feature selection is one of the most critical steps in big data analysis. Accurately extracting correct features from massive data can effectively improve the accuracy of big data processing algorithms.
Yufeng Wang +5 more
doaj +2 more sources
The emergence of multidrug-resistant (MDR) bacterial pathogens poses a critical threat to global health, demanding intelligent and adaptive predictive systems. This study proposes the application of the Grey Wolf Optimizer (GWO) algorithm as an innovative computational approach for predicting and analyzing multidrug resistance patterns in clinical ...
Ade May Luky Harefa
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MPPT Performance Analysis for PV Energy Harvesting Using Grey Wolf Optimization (GWO) Algorithm
Renewable energy is a key solution to meeting the growing demand for electricity while reducing reliance on non-renewable sources. Among various renewable technologies, photovoltaic (PV) systems are widely used in solar power plants (PLTS) to harness solar energy.
Aripriharta Aripriharta +6 more
openalex +3 more sources
A Kernel Extreme Learning Machine-Grey Wolf Optimizer (KELM-GWO) Model to Predict Uniaxial Compressive Strength of Rock [PDF]
Chuanqi Li +3 more
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Forecasting natural gas consumption in Turkey using fractional non-linear grey Bernoulli model optimized by grey wolf optimization (GWO) algorithm [PDF]
Natural gas stands as an indispensable energy source, integrated to the daily operations of countries worldwide, serving as a primary energy input for various industries, homes, and sectors. The predominant driver behind the escalating trend in natural gas consumption is rooted in its distinctive environmental profile, characterized by a relatively ...
Tuncay Özcan +2 more
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New Colorful Image Encryption Method Using Triple Chaotic Maps and Grey Wolf Optimization (GWO)
A novel image encryption algorithm employing triple chaotic maps has been developed to address the shortcomings of existing methods in terms of security and efficiency. The algorithm leverages the interconnectivity of color channels in images, using distinct keys to disrupt pixel correlations within each channel.
Qutaiba K. Abed +1 more
openalex +3 more sources

