Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea

WL Hakim, F Rezaie, AS Nur, M Panahi… - Journal of environmental …, 2022 - Elsevier
Landslides are a geological hazard that can pose a serious threat to human health and the
environment of highlands or mountain slopes. Landslide susceptibility mapping is an …

A collaboration-based hybrid GWO-SCA optimizer for engineering optimization problems

Y Duan, X Yu - Expert Systems with Applications, 2023 - Elsevier
Abstract Grey Wolf Optimizer (GWO) tends to converge prematurely when dealing with
multimodal problems. Using the benefits of hybridizing algorithm to boost the performance of …

A comparison between particle swarm and grey wolf optimization algorithms for improving the battery autonomy in a photovoltaic system

H Kraiem, F Aymen, L Yahya, A Triviño, M Alharthi… - Applied Sciences, 2021 - mdpi.com
This research focuses on a photovoltaic system that powers an Electric Vehicle when
moving in realistic scenarios with partial shading conditions. The main goal is to find an …

[HTML][HTML] Grey Wolf Optimizer for enhancing Nicotiana Tabacum L. oil methyl ester and prediction model for calorific values

OD Samuel, M Kaveh, TN Verma, AO Okewale… - Case Studies in Thermal …, 2022 - Elsevier
Modelling and enhancing the production of green diesel in biodiesel industries have been
hampered by the failure of the conventional approach to pursue space with continuous …

[HTML][HTML] Optimization of transformer parameters at distribution and power levels with hybrid Grey wolf-whale optimization algorithm

M Toren - Engineering Science and Technology, an International …, 2023 - Elsevier
Oil-type transformers (OTT) are used more than dry-type transformers, based on cost in the
transmission and distribution of electrical energy. Therefore, this usage density increases …

Using Grey Wolf Optimization Algorithm and Whale Optimization Algorithm for Optimal Sizing of Grid-Connected Bifacial PV Systems

HA Hadi, A Kassem, H Amoud, S Nadweh… - Journal of Robotics …, 2024 - journal.umy.ac.id
The shift towards renewable energies is driven by the shortage of fossil fuels for electricity
generation and the associated harmful impacts. Grid-connected PV systems are a reliable …

Collaborative beamforming in wireless sensor networks using a novel particle swarm optimization algorithm variant

RM Maina, PK Lang'at, PK Kihato - Heliyon, 2021 - cell.com
Collaborative Beamforming (CBF) is an essential tool towards increasing transmission
range in Wireless Sensor Networks (WSNs). Owing to the random and complex nature of …

[PDF][PDF] Using Active Filter Controlled by Imperialist Competitive Algorithm ICA for Harmonic Mitigation in Grid-Connected PV Systems

HA Hadi, A Kassem, H Amoud, S Nadweh… - … Journal of Robotics …, 2024 - researchgate.net
Renewable energy sources are favoured for electricity production due to the rising demand
for eco-friendly power and the decline of traditional sources like natural gas, oil, coal, and …

Topology design of variable speed drive systems for enhancing power quality in industrial grids

S Nadweh, N Mohammed, O Alshammari… - Electric Power Systems …, 2025 - Elsevier
In the last two decades, a rapid increase in the utilization of non-linear loads within electrical
grids has been observed. Consequently, elevated levels of harmonics are found in both …

[HTML][HTML] Variational Mode Decomposition Analysis of Electroencephalograms during General Anesthesia: Using the Grey Wolf Optimizer to Determine …

K Kushimoto, Y Obata, T Yamada, M Kinoshita… - Sensors, 2024 - mdpi.com
Frequency analysis via electroencephalography (EEG) during general anesthesia is used to
develop techniques for measuring anesthesia depth. Variational mode decomposition …