Human-inspired optimization algorithms: Theoretical foundations, algorithms, open-research issues and application for multi-level thresholding
Humans take immense pride in their ability to be unpredictably intelligent and despite huge
advances in science over the past century; our understanding about human brain is still far …
advances in science over the past century; our understanding about human brain is still far …
Diagnosis of obstructive sleep apnea from ECG signals using machine learning and deep learning classifiers
Obstructive sleep apnea (OSA) is a well-known sleep ailment. OSA mostly occurs due to the
shortage of oxygen for the human body, which causes several symptoms (ie, low …
shortage of oxygen for the human body, which causes several symptoms (ie, low …
Boosted whale optimization algorithm with natural selection operators for software fault prediction
Software fault prediction (SFP) is a challenging process that any successful software should
go through it to make sure that all software components are free of faults. In general, soft …
go through it to make sure that all software components are free of faults. In general, soft …
Intelligent detection of false information in arabic tweets utilizing hybrid harris hawks based feature selection and machine learning models
Fake or false information on social media platforms is a significant challenge that leads to
deliberately misleading users due to the inclusion of rumors, propaganda, or deceptive …
deliberately misleading users due to the inclusion of rumors, propaganda, or deceptive …
Empirical evaluation of the performance of data sampling and feature selection techniques for software fault prediction
SC Rathi, S Misra, R Colomo-Palacios… - Expert Systems with …, 2023 - Elsevier
Abstract Context: The application of Software Fault Prediction (SFP) in the software
development life cycle to predict the faulty class at the early stage has piqued the interest of …
development life cycle to predict the faulty class at the early stage has piqued the interest of …
Predicting the existence of COVID-19 using machine learning based on laboratory findings
H Turabieh, WBA Karaa - … conference of women in data science …, 2021 - ieeexplore.ieee.org
Since December 2019, a new coronavirus disease (COVID-19) was detected in Wuhan,
China, spread all over the world. Many research papers have been published to study this …
China, spread all over the world. Many research papers have been published to study this …
An optimized feature selection method using ensemble classifiers in software defect prediction for healthcare systems
The healthcare systems are extensively being used with increased focus on safety of
patients. Software engineering for healthcare applications is an emerging research area …
patients. Software engineering for healthcare applications is an emerging research area …
Semisupervised feature selection via generalized uncorrelated constraint and manifold embedding
Ridge regression is frequently utilized by both supervised learning and semisupervised
learning. However, the results cannot obtain the closed-form solution and perform manifold …
learning. However, the results cannot obtain the closed-form solution and perform manifold …
Efficient multi-swarm binary harris hawks optimization as a feature selection approach for software fault prediction
Designing a solution for an optimization problem requires two main aspects; the optimization
technique (eg, search strategy) and the evaluation criteria (ie, objective function). In this …
technique (eg, search strategy) and the evaluation criteria (ie, objective function). In this …
Feature selection using metaheuristics made easy: Open source MAFESE library in Python
N Van Thieu, NH Nguyen, AA Heidari - Future Generation Computer …, 2024 - Elsevier
Feature selection (FS) is an essential aspect of artificial intelligence (AI), providing guidance
in navigating the vast array of features within a dataset to uncover their utmost relevance …
in navigating the vast array of features within a dataset to uncover their utmost relevance …