[HTML][HTML] Advancements in axial flux permanent magnet machines utilizing coreless technology: A systematic review

I Shuaibu, EHT Wei, R Kannan, YA Samaila - Ain Shams Engineering …, 2024 - Elsevier
Coreless axial flux permanent magnet machines (C-AFPMMs) offer exceptional efficiency,
power, and torque density by eliminating iron losses, making them attractive for applications …

Competing leaders grey wolf optimizer and its application for training multi-layer perceptron classifier

Z Yang - Expert Systems with Applications, 2024 - Elsevier
The multi-layer perceptron (MLP) is a highly popular artificial neural network used for
classification across various applications. Swarm intelligence algorithms, such as the grey …

Stabilization and tracking control of underactuated ball and beam system using metaheuristic optimization based TID-F and PIDD2–PI control schemes

F Zafar, SA Malik, T Ali, A Daraz, AR Afzal, F Bhatti… - Plos one, 2024 - journals.plos.org
In this paper, we propose two different control strategies for the position control of the ball of
the ball and beam system (BBS). The first control strategy uses the proportional integral …

Optimizing Load Frequency Control in Standalone Marine Microgrids Using Meta-Heuristic Techniques

S Alahakoon, RB Roy, SJ Arachchillage - Energies, 2023 - mdpi.com
Integrating renewable resources into the electrical systems of marine vessels achieves the
dual goal of diversifying energy resources and reducing greenhouse gas emissions. The …

Overview: Using Hybrid Energy System for Electricity Production Based on the Optimization Methods

S Saib, R Bayındır, S Vadi - Gazi University Journal of Science, 2024 - dergipark.org.tr
Renewable energy systems are mostly used in the world due to their inexhaustible and non-
polluting production. As a result of a large utilization of these energy sources in different …

[HTML][HTML] Bio-inspired computing algorithms in dementia diagnosis–a application-oriented review

DD Mandave, LV Patil - Results in Control and Optimization, 2023 - Elsevier
Dementia is a major neurocognitive disease which affects memory, thinking skills, attitudes,
and social behavior, extremely causing disturbances in daily routine activities and social …

Improving software effort estimation models using grey wolf optimization algorithm

NM Alsheikh, NM Munassar - IEEE Access, 2023 - ieeexplore.ieee.org
One of the Software Development Life Cycle phases is planning the software project.
Estimating the software effort is another task in this project planning phase. Software effort …

Optimization of proportional-integral controllers of grid-connected wind energy conversion system using grey wolf optimizer based on artificial neural network for …

FAM Alremali, EK Yaylacı, İ Uluer - Advances in Science and …, 2022 - yadda.icm.edu.pl
This research presents a combination of artificial neural network (ANN) with the grey wolf
optimizer (GWO) to improve the power quality of a grid-connected distributed power …

A modified multi-stepped constant current based on gray wolf algorithm for photovoltaics applications

I Dagal, B Akın, YD Dari - Electrical Engineering, 2024 - Springer
One of the most known and usable renewable energy is photovoltaic solar energy. Its
properties such as recursivity, cleanness, limitlessness, and reliability make it the most …

Application of ANN and RSM for Rhodamine B and Safranine-O Decolorization on Zinc-Carbon Battery Waste Derived Ag/CoFe-LDH/rGO Catalyst

U Ecer, B Ulaş, S Yılmaz - Langmuir, 2024 - ACS Publications
The present work is first aimed at recovering graphite from carbon rods of waste zinc-carbon
(Zn-C) batteries for applications such as wastewater treatment, in order to contribute to the …