A systematic review on metaheuristic optimization techniques for feature selections in disease diagnosis: open issues and challenges

S Kaur, Y Kumar, A Koul, S Kumar Kamboj - Archives of Computational …, 2023 - Springer
There is a need for some techniques to solve various problems in today's computing world.
Metaheuristic algorithms are one of the techniques which are capable of providing practical …

Experimental study of PEM fuel cell temperature characteristic and corresponding automated optimal temperature calibration model

X Tang, Y Zhang, S Xu - Energy, 2023 - Elsevier
This study thoroughly analyses and quantifies the operating temperature characterization of
the proton exchange membrane (PEM) fuel cell and develops an automated temperature …

[HTML][HTML] Optimizing microarray cancer gene selection using swarm intelligence: Recent developments and an exploratory study

J Isuwa, M Abdullahi, YS Ali, IH Hassan… - Egyptian Informatics …, 2023 - Elsevier
Microarray data represents a valuable tool for the identification of biomarkers associated
with diseases and other biological conditions. Genes, in particular, are a type of biomarker …

Review and classification of bio-inspired algorithms and their applications

X Fan, W Sayers, S Zhang, Z Han, L Ren… - Journal of Bionic …, 2020 - Springer
Scientists have long looked to nature and biology in order to understand and model
solutions for complex real-world problems. The study of bionics bridges the functions …

A hybrid bi-level metaheuristic for credit scoring

D Şen, CÇ Dönmez, UM Yıldırım - Information Systems Frontiers, 2020 - Springer
This research aims to propose a framework for evaluating credit applications by assigning a
binary score to the applicant. The score is targeted to determine whether the credit …

A novel bio-inspired hybrid multi-filter wrapper gene selection method with ensemble classifier for microarray data

B Nouri-Moghaddam, M Ghazanfari… - Neural Computing and …, 2023 - Springer
Microarray technology is known as one of the most important tools for collecting DNA
expression data. This technology allows researchers to investigate and examine types of …

A critical review on molecular dynamics applied to structure fracture and failure analysis

M Wang, A Incecik, C Yang, MK Gupta… - … Analysis with Boundary …, 2023 - Elsevier
Due to the continuous exploration of ocean resources, the marine structures are gradually
applied from offshore to far-reaching sea areas, and the safety and reliability of the marine …

An intelligence-based health biomarker identification system using microarray analysis

B Sahu, JC Badajena, A Panigrahi… - … decision making in …, 2020 - taylorfrancis.com
In the technology-based world the enormous utilization of microarray technology plays a
major role in biomarker identification. But still it is an expensive task to accomplish due to the …

A systematic literature review on meta-heuristic based feature selection techniques for text classification

SA Al-shalif, N Senan, F Saeed, W Ghaban… - PeerJ Computer …, 2024 - peerj.com
Feature selection (FS) is a critical step in many data science-based applications, especially
in text classification, as it includes selecting relevant and important features from an original …

[HTML][HTML] Improved Swarm Intelligence Optimization Model with Mutual Information Estimation for Feature Selection in Microarray Bioinformatics Datasets for Diseases …

PR Krishna, P Rajarajeswari - International Journal of Fuzzy Logic and …, 2023 - ijfis.org
Bioinformatics has emerged as a promising field with innovative applications in various
biological domains. Microarray data analysis has become the preferred technology for …