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Published in 2019 at "Applied Intelligence"
DOI: 10.1007/s10489-019-01478-5
Abstract: Fuzzy rule-based classification systems (FRBCSs) are appropriate tools for dealing with classification problems because of their interpretable models based on linguistic variables. Intelligent optimization techniques are widely used in the rule mining of FRBCSs due…
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Keywords:
multi population;
fuzzy;
contradictory rule;
rule reconstruction ... See more keywords
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Published in 2020 at "Water Resources Management"
DOI: 10.1007/s11269-020-02588-3
Abstract: A common problem that the world faces is the waste of energy. In water pump stations, the situation is not different. Employees still use the traditional, manual, and empirical operation of the water pumps. This…
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Keywords:
multi population;
algorithms;
water;
optimization ... See more keywords
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Published in 2021 at "Physics of Fluids"
DOI: 10.1063/5.0066912
Abstract: In this work, several mathematical models for the spread of viruses and diseases are presented. In particular, the work focuses on the coronavirus disease 2019 (COVID-19) pandemic. A multi-population model is presented for the study…
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Keywords:
vaccination process;
vaccination;
multi population;
population analysis ... See more keywords
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Published in 2021 at "Environmental Research Letters"
DOI: 10.1088/1748-9326/ac08c2
Abstract: Reservoir operation causes spatiotemporal variations in outflow, which influence the dynamics of downstream aquatic communities. However, empirical evidence of community responses to hydrological alteration remains limited for dam-regulated rivers. This study focused on quantifying the…
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Keywords:
multi population;
community;
operation;
aquatic community ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3010127
Abstract: In this research, we propose to utilize the newly introduced Multi-population differential evolution-assisted Harris Hawks Optimization Algorithm (CMDHHO) in the optimization process for satellite image denoising in the wavelet domain. This optimization algorithm is the…
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Keywords:
optimization;
optimization algorithm;
population differential;
multi population ... See more keywords
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Published in 2022 at "PLOS Genetics"
DOI: 10.1371/journal.pgen.1010443
Abstract: Multi-population cohorts offer unprecedented opportunities for profiling disease risk in large samples, however, heterogeneous risk effects underlying complex traits across populations make integrative prediction challenging. In this study, we propose a novel Bayesian probability framework,…
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Keywords:
prism vote;
traits genotype;
multi population;
risk ... See more keywords
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Published in 2022 at "Algorithms"
DOI: 10.3390/a15100380
Abstract: Fuzzy c-means (FCM), the fuzzy variant of the popular k-means, has been used for data clustering when cluster boundaries are not well defined. The of initial cluster prototypes (or the initialization of cluster memberships), and…
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Keywords:
methodology;
multi population;
cooperative multi;
differential evolution ... See more keywords
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Published in 2023 at "PeerJ"
DOI: 10.7717/peerj.14910
Abstract: Polygenic risk scores (PRS) based on genome-wide discoveries are promising predictors or classifiers of disease development, severity, and/or progression for common clinical outcomes. A major limitation of most risk scores is the paucity of genome-wide…
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Keywords:
risk scores;
multi population;
polygenic risk;
lipid traits ... See more keywords