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Adaptive Chaotic Marine Predators Hill Climbing Algorithm for Large-Scale Design Optimizations
IEEE Access, 2023 Meta-heuristic algorithms have been effectively employed to tackle a wide range of optimisation issues, including structural engineering challenges.
Amin Abdollahi Dehkordi +3 more
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IET Collaborative Intelligent Manufacturing, 2021 Predictive models are increasingly deployed within smart manufacturing for the control of industrial plants. With this arises, the need for long‐term monitoring of model performance and adaptation of models if surrounding conditions change and the ...
Florian Bachinger +2 more
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Large-scale gene analysis of rabbit atherosclerosis to discover new biomarkers for coronary artery disease [PDF]
Open Biology, 2019 Atherosclerosis is the pathological basis of coronary artery disease (CAD) and causes high mortality. Thus, early detection is thought to be crucial in reducing the risk of CAD.
Xiaolan Yu +8 more
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The estimation of body weight from body measurements of Travnik Pramenka sheep in the area of Bilogora, Croatia [PDF]
Journal of Central European Agriculture, 2020 The aim of present research was to establish the relationship between live body weight and some body measurements in Travnik sheep as a step towards establishing prediction equations to estimate live body weight of sheep under field conditions without ...
Josip Novoselec +6 more
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Risk factors of regression and undercorrection in photorefractive keratectomy:a case-control study [PDF]
International Journal of Ophthalmology, 2015 AIM:To determine risk factors of regression and undercorrection following photorefractive keratectomy (PRK) in myopia or myopic astigmatism.METHODS: A case-control study was designed in which eyes with an indication for re-treatment (RT) were defined as ...
Seyed-Farzad Mohammadi +4 more
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Model of high-productive varieties in forage pea [PDF]
Journal of Central European Agriculture, 2015 A linear equation of regression was used for establishment of the influence of quantitative characteristics on the grain productivity in forage pea and for development of a model for breeding work.
Valentin Kosev
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Branch and bound method for regression-based controlled variable selection [PDF]
, 2013 Self-optimizing control is a promising method for selection of controlled variables (CVs) from available measurements. Recently, Ye, Cao, Li, and Song (2012) have proposed a globally optimal method for selection of self-optimizing CVs by converting the ...
Cao, Yi, Kariwala, Vinay, Ye, Lingjian
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Cogent Economics & Finance, 2020 This paper explores the symmetric and asymmetric dependency structure of decomposed return series of Gold and eight cryptocurrencies to establish the hedging and diversification potentials of these asset classes.
Peterson Owusu Junior +2 more
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, 2004 The main problem with localized discriminant techniques is the curse of dimensionality, which seems to restrict their use to the case of few variables. This restriction does not hold if localization is combined with a reduction of dimension.
Binder, Harald, Tutz, Gerhard
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Significance Regression: Robust Regression for Collinear Data [PDF]
, 1993 This paper examines robust linear multivariable regression from collinear data. A brief review of M-estimators discusses the strengths of this approach for tolerating outliers and/or perturbations in the error distributions.
Holcomb, Tyler R., Morari, Manfred
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