Search Results - "Rabiei, Mohammad Reza"
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Small Area Estimation Using a Semiparametric Spatial Model with Application in Insurance
Published in Symmetry (Basel) (01-10-2022)“…Additional information and borrowing strength from the related sites and other sources will improve estimation in small areas. Generalized linear mixed-effects…”
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Transient knockdown of Nucleoside transporter 4 gene expression as a therapeutic target in Leishmania major by antisense RNA: In vitro and in vivo studies
Published in Journal of vector borne diseases (01-04-2019)“…Background & objectives: Leishmania parasites cause various clinical symptoms in humans such as cutaneous ulcers and fatal visceral diseases. These parasites…”
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A Generalized Bridge Regression in Fuzzy Environment and Its Numerical Solution by a Capable Recurrent Neural Network
Published in Journal of mathematics (Hidawi) (2020)“…Bridge regression is a special family of penalized regressions using a penalty function ∑Ajγ with γ≥1 that for γ=1 and γ=2, it concludes lasso and ridge…”
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Transient Down-Regulation of Nucleoside Transporter 3 Gene Expression as a Drug Target in Leishmania major Using Antisense RNA Technology
Published in Iranian journal of parasitology (01-01-2019)“…This study was aimed to silencing the Nucleoside transporter 3 (NT3) permease nucleobases involved in the salvage pathway of in order to disrupt purine…”
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Deep eutectic solvents: A review on their sensing applications
Published in Microchemical journal (01-08-2024)“…[Display omitted] •The application of deep eutectic solvents (DESs) in sensing strategies are categorized by detection methods.•The blue applicability grade…”
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Small area estimation with partially linear mixed-t model with measurement error
Published in Journal of computational and applied mathematics (15-08-2024)“…In small area estimation (SAE), using direct conventional methods will not lead to reliable estimates because the sample size is small compared to the…”
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Solving the stochastic support vector regression with probabilistic constraints by a high-performance neural network model
Published in Engineering with computers (01-06-2022)“…This paper offers a recurrent neural network to support vector machine (SVM) learning in stochastic support vector regression with probabilistic constraints…”
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An Optimization Technique for Solving a Class of Ridge Fuzzy Regression Problems
Published in Neural processing letters (01-10-2021)“…In this paper, a hybrid scheme based on recurrent neural networks for approximate coefficients (parameters) of ridge fuzzy regression model with LR-fuzzy…”
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Fuzzy ridge regression with fuzzy input and output
Published in Soft computing (Berlin, Germany) (01-12-2019)“…In regression modeling, existence of multicollinearity may result in linear combination of the parameters, leading to produce estimates with wrong signs. In…”
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An integrated shrinkage strategy for improving efficiency in fuzzy regression modeling
Published in Soft computing (Berlin, Germany) (2021)“…The fuzzy linear regression (FLR) modeling was first proposed making use of linear programming and then followed by many improvements in a variety of ways. In…”
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Electrochemical Aptasensor for Selective and Sensitive Detection of Staphylococcus aureus Using Graphene oxide/poly Deep Eutectic Solvent/Nickel Oxide Nanocomposite Modified Electrode
Published in ChemistrySelect (Weinheim) (19-01-2024)“…Since that pathogenic bacteria are major threats to human health; this research describes the fabrication of an effective and sensitive platform based on…”
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Least-squares approach to regression modeling in full interval-valued fuzzy environment
Published in Soft computing (Berlin, Germany) (01-10-2014)“…A regression procedure is introduced when the observations of the response and the independent variables, as well as the coefficients that are to be estimated,…”
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Fuzzy regression model with interval-valued fuzzy input-output data
Published in 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (01-07-2013)“…A novel approach is introduced to construct a fuzzy regression model when both input data and output data are interval-valued fuzzy numbers. Using a distance…”
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