[HTML][HTML] Soft computing techniques for biomedical data analysis: open issues and challenges

EH Houssein, ME Hosney, MM Emam… - Artificial Intelligence …, 2023 - Springer
In recent years, medical data analysis has become paramount in delivering accurate
diagnoses for various diseases. The plethora of medical data sources, encompassing …

[HTML][HTML] Dynamic candidate solution boosted beluga whale optimization algorithm for biomedical classification

EH Houssein, A Sayed - Mathematics, 2023 - mdpi.com
In many fields, complicated issues can now be solved with the help of Artificial Intelligence
(AI) and Machine Learning (ML). One of the more modern Metaheuristic (MH) algorithms …

[HTML][HTML] Application of modified artificial hummingbird algorithm in optimal power flow and generation capacity in power networks considering renewable energy …

MM Emam, EH Houssein, MA Tolba, MM Zaky… - Scientific Reports, 2023 - nature.com
Today's electrical power system is a complicated network that is expanding rapidly. The
power transmission lines are more heavily loaded than ever before, which causes a host of …

A modified weighted mean of vectors optimizer for Chronic Kidney disease classification

EH Houssein, A Sayed - Computers in Biology and Medicine, 2023 - Elsevier
Chronic kidney Disease (CKD), also known as chronic renal disease, is an illness that
affects the majority of adults and is defined by a progressive decrease in kidney function …

[HTML][HTML] Modified orca predation algorithm: developments and perspectives on global optimization and hybrid energy systems

MM Emam, HA El-Sattar, EH Houssein… - Neural Computing and …, 2023 - Springer
This paper provides a novel, unique, and improved optimization algorithm called the
modified Orca Predation Algorithm (mOPA). The mOPA is based on the original Orca …

[HTML][HTML] An adaptive sand cat swarm algorithm based on cauchy mutation and optimal neighborhood disturbance strategy

X Wang, Q Liu, L Zhang - Biomimetics, 2023 - mdpi.com
Sand cat swarm optimization algorithm (SCSO) keeps a potent and straightforward meta-
heuristic algorithm derived from the distant sense of hearing of sand cats, which shows …

Application of improved hybrid whale optimization algorithm to optimization problems

MS Uzer, O Inan - Neural Computing and Applications, 2023 - Springer
Abstract The Whale Optimization Algorithm (WOA) is one of the recent meta-heuristic
algorithms. WOA has advantages such as an exploration mechanism that leads towards the …

[HTML][HTML] Early diagnosis of liver disease using improved binary butterfly optimization and machine learning algorithms

WM Shaban - Multimedia Tools and Applications, 2024 - Springer
Liver disease in patients is on the rise due to environmental factors like toxic gas exposure,
contaminated food, drug interactions, and excessive alcohol use. Therefore, diagnosing liver …

Dispersed differential hunger games search for high dimensional gene data feature selection

Z Chen, L Xinxian, R Guo, L Zhang, S Dhahbi… - Computers in Biology …, 2023 - Elsevier
The realms of modern medicine and biology have provided substantial data sets of genetic
roots that exhibit a high dimensionality. Clinical practice and associated processes are …

Spatial mapping of land susceptibility to dust emissions using optimization of attentive Interpretable Tabular Learning (TabNet) model

SV Razavi-Termeh, A Sadeghi-Niaraki… - Journal of …, 2024 - Elsevier
Dust pollution poses significant risks to human health, air quality, and food safety,
necessitating the identification of dust occurrence and the development of dust susceptibility …