Results 71 to 80 of about 17,774 (232)

The LSTM-GWO accuracy and loss with experiment 1.

, 2022
The LSTM-GWO accuracy and loss with experiment 1.
Naglaa Fathy Hassan (13189914), Mustafa Abdul Salam (10941730), Mohamed Abd El-Fatah (13189911)   +2 more
core   +1 more source

ANFIS-AMAL: Android Malware Threat Assessment Using Ensemble of ANFIS and GWO

Cybernetics and Information Technologies
The Android malware has various features and capabilities. Various malware has distinctive characteristics. Ransomware threatens financial loss and system lockdown.
Nwasra Nedal, Daoud Mohammad, Qaisar Zahid Hussain   +2 more
doaj   +1 more source

Metaheuristic algorithms in optimizing neural network: a comparative study for forest fire susceptibility mapping in Dak Nong, Vietnam

Geomatics, Natural Hazards & Risk, 2019
Meta-heuristic algorithms become common approaches in finding sufficiently good solutions for optimization problems. This study proposed and compared three novel hybrid methods, namely Biogeography-based Optimization (BBO), Gravitational Search Algorithm
Quang-Thanh Bui
doaj   +1 more source

An Improved Grey Wolf Optimizer Based on Differential Evolution and OTSU Algorithm

Applied Sciences, 2020
Aimed at solving the problems of poor stability and easily falling into the local optimal solution in the grey wolf optimizer (GWO) algorithm, an improved GWO algorithm based on the differential evolution (DE) algorithm and the OTSU algorithm is proposed
Yuanyuan Liu, Jiahui Sun, Haiye Yu, Yueyong Wang, Xiaokang Zhou   +4 more
doaj   +1 more source

Research on Nonuniform Ageing State Assessment of Oil‐Immersed Power Transformers Based on PCA–GWO–RF Algorithm

High Voltage, EarlyView.
ABSTRACT The condition assessment of oil–paper insulation is critical for oil–immersed power transformers, which are fundamental to the reliability of modern power systems. The primary limitation of traditional transformer ageing assessment lies in its macroscopic, whole‐unit approach, which fails to account for the localised effects of nonuniform ...
Mingze Zhang, Muhe Yu, Wei Sun, Ji Liu, Song Cheng, Bingjie Wang, Di Shao, Minghe Chi   +7 more
wiley   +1 more source

LSTM-GWO prediction and actual scores with experiment 4.

, 2022
LSTM-GWO prediction and actual scores with experiment 4.
Naglaa Fathy Hassan (13189914), Mustafa Abdul Salam (10941730), Mohamed Abd El-Fatah (13189911)   +2 more
core   +1 more source

Improved the GWO principle of the golden sine algorithm.

, 2023
Improved the GWO principle of the golden sine algorithm.
Mengyuan Liu (4678300), Guangwei Liu (181992), Qi Gao (133189), Saiou Fu (11973552), Wei Liu (20030), Jiayang Sun (512348), Yixin Zhu (8174733)   +6 more
core   +1 more source

Assessment Method of Farmland Heavy Metal Content Based on Improved Elman and GWO Algorithm

Journal of Applied Science and Engineering
: This study proposes a composite evaluation model based on improved Elman and mixed optimization strategy to address the core issues of insufficient dynamic sequence modeling ability, incomplete capture of multi factor nonlinear interaction ...
Hui Zhang, Lu Qiao, Weifeng Han, Benyin Li, Yanfen Li   +4 more
doaj   +1 more source

Building energy optimization using Grey Wolf Optimizer (GWO): Source codes

, 2021
The building model and source codes for building optimization using Grey Wolf Optimizer (GWO) Extract GWO folder and then add it to Mat lab paths before run, so the software will know the GWO function.
Ghalambaz, M (via Mendeley Data)
core   +1 more source

Image Denoising with Modified Grey Wolf Optimizer

Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2018
In this study, image denoising hasbeen realized with with the one of the recent Nature-Inspired optimizationalgorithms, Grey Wolf Optimizer(GWO). GWO is one of the recent most studiedcontinous optimization algorithm which performs better than the ...
Pakize Erdoğmuş, Hüseyin Avni Ardaç
doaj   +1 more source