Machine learning in medical applications: A review of state-of-the-art methods
Applications of machine learning (ML) methods have been used extensively to solve various
complex challenges in recent years in various application areas, such as medical, financial …
complex challenges in recent years in various application areas, such as medical, financial …
Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis …
Real-world engineering design problems are widespread in various research disciplines in
both industry and industry. Many optimization algorithms have been employed to address …
both industry and industry. Many optimization algorithms have been employed to address …
An enhanced hybrid arithmetic optimization algorithm for engineering applications
G Hu, J Zhong, B Du, G Wei - Computer Methods in Applied Mechanics and …, 2022 - Elsevier
Arithmetic optimization algorithm (AOA) is a newly well-developed meta-heuristic algorithm
that is inspired by the distribution behavior of main arithmetic operators in mathematics …
that is inspired by the distribution behavior of main arithmetic operators in mathematics …
COVID-19 X-ray image segmentation by modified whale optimization algorithm with population reduction
S Chakraborty, AK Saha, S Nama, S Debnath - Computers in Biology and …, 2021 - Elsevier
Abstract Coronavirus disease 2019 (COVID-19) has caused a massive disaster in every
human life field, including health, education, economics, and tourism, over the last year and …
human life field, including health, education, economics, and tourism, over the last year and …
UncertaintyFuseNet: robust uncertainty-aware hierarchical feature fusion model with ensemble Monte Carlo dropout for COVID-19 detection
Abstract The COVID-19 (Coronavirus disease 2019) pandemic has become a major global
threat to human health and well-being. Thus, the development of computer-aided detection …
threat to human health and well-being. Thus, the development of computer-aided detection …
A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems
The present study aims to optimize the engineering design and manufacturing problems
with a novel hybrid optimizer named: AOA-NM (Arithmetic optimization-Nelder mead). To …
with a novel hybrid optimizer named: AOA-NM (Arithmetic optimization-Nelder mead). To …
[HTML][HTML] Exploring machine learning: a scientometrics approach using bibliometrix and VOSviewer
DO Oyewola, EG Dada - SN Applied Sciences, 2022 - Springer
Abstract Machine Learning has found application in solving complex problems in different
fields of human endeavors such as intelligent gaming, automated transportation, cyborg …
fields of human endeavors such as intelligent gaming, automated transportation, cyborg …
Improved arithmetic optimization algorithm and its application to discrete structural optimization
A Kaveh, KB Hamedani - Structures, 2022 - Elsevier
The arithmetic optimization algorithm (AOA) is a newly developed metaheuristic search
technique that simulates the distribution characteristics of the basic arithmetic operations of …
technique that simulates the distribution characteristics of the basic arithmetic operations of …
[HTML][HTML] Robust model predictive control paradigm for automatic voltage regulators against uncertainty based on optimization algorithms
This paper introduces a robust model predictive controller (MPC) to operate an automatic
voltage regulator (AVR). The design strategy tends to handle the uncertainty issue of the …
voltage regulator (AVR). The design strategy tends to handle the uncertainty issue of the …
AOAAO: The hybrid algorithm of arithmetic optimization algorithm with aquila optimizer
YJ Zhang, YX Yan, J Zhao, ZM Gao - IEEE Access, 2022 - ieeexplore.ieee.org
Many new algorithms have been proposed to solve the mathematical equations formulated
to describe the real-world problems. But there still does not exist one algorithm that could …
to describe the real-world problems. But there still does not exist one algorithm that could …