A systematic review on metaheuristic optimization techniques for feature selections in disease diagnosis: open issues and challenges
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 …
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 …
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
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 …
with diseases and other biological conditions. Genes, in particular, are a type of biomarker …
Review and classification of bio-inspired algorithms and their applications
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 …
solutions for complex real-world problems. The study of bionics bridges the functions …
A hybrid bi-level metaheuristic for credit scoring
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
biological domains. Microarray data analysis has become the preferred technology for …