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Published in 2019 at "Environmental Earth Sciences"
DOI: 10.1007/s12665-019-8344-7
Abstract: This study presents a novel ensemble group method of data handling (EGMDH) model based on classification for the prediction of liquefaction potential of soils. Liquefaction is one of the most complex problems in geotechnical earthquake…
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Keywords:
model based;
cpt based;
liquefaction;
model ... See more keywords
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Published in 2018 at "Geocarto International"
DOI: 10.1080/10106049.2018.1425738
Abstract: Abstract This study addresses landslide susceptibility mapping (LSM) using a novel ensemble approach of using a bivariate statistical method (weights of evidence [WoE] and evidential belief function [EBF])-based logistic model tree (LMT) classifier. The performance…
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Keywords:
bivariate statistical;
ensemble approach;
model;
landslide susceptibility ... See more keywords
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Published in 2017 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2017/1827016
Abstract: Class imbalance ubiquitously exists in real life, which has attracted much interest from various domains. Direct learning from imbalanced dataset may pose unsatisfying results overfocusing on the accuracy of identification and deriving a suboptimal model.…
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Keywords:
imbalanced data;
ensemble method;
bagging extrapolation;
method ... See more keywords
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Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/2339546
Abstract: Rheumatoid arthritis (RA) is a chronic inflammatory disease caused by numerous genetic and environmental factors leading to musculoskeletal system pain. RA may damage other tissues and organs, causing complications that severely reduce patients' quality of…
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Keywords:
technique preemptive;
novel ensemble;
disease;
rheumatoid arthritis ... See more keywords
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Published in 2021 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2021.768747
Abstract: Hypertension is a chronic disease and major risk factor for cardiovascular and cerebrovascular diseases that often leads to damage to target organs. The prevention and treatment of hypertension is crucially important for human health. In…
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Keywords:
ensemble method;
novel ensemble;
method;
related drug ... See more keywords
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Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10113710
Abstract: Development of landslide predictive models with strong prediction power has become a major focus of many researchers. This study describes the first application of the Hyperpipes (HP) algorithm for the development of the five novel…
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Keywords:
hyperpipes algorithm;
landslide predictive;
model;
predictive models ... See more keywords
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Published in 2019 at "Data"
DOI: 10.3390/data4030126
Abstract: Neuro-fuzzy models have a proven record of successful application in finance. Forecasting future values is a crucial element of successful decision making in trading. In this paper, a novel ensemble neuro-fuzzy model is proposed to…
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Keywords:
fuzzy model;
ensemble neuro;
novel ensemble;
neuro fuzzy ... See more keywords
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Published in 2020 at "Energies"
DOI: 10.3390/en13030550
Abstract: Accurate forecasting of the energy demand is crucial for the rational formulation of energy policies for energy management. In this paper, a novel ensemble forecasting model based on the artificial bee colony (ABC) algorithm for…
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Keywords:
energy demand;
energy;
model;
forecasting energy ... See more keywords