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Publications by Natsumi TOGARI

Selection of Aroma Components to Predict Sensory Quality of Kenyan Black Teas Using a Genetic Algorithm for Multiple Linear Regression Models.

Food Science and Technology International, Tokyo

English

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Multiple Trait and Random Regression Models Using Linear Splines for Genetic Evaluation of Multiple Breed Populations

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Dividend Payout Forecast : Multiple Linear Regression vs Genetic Algorithm-Neural Network

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Sensory Profile and Contribution of Major Components of Aroma in Dry Red Wine Quality

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Algorithm 55. Multiple Regression With Stepwise Selection of Variables

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Multiple Linear Regression Models to Predict the Formation Efficiency of Triplet Excited States of Dissolved Organic Matter in Temperate Wetlands

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Using Multiple Linear Regression and Physicochemical Changes of Amino Acid Mutations to Predict Antigenic Variants of Influenza a/H3n2 Viruses

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Quantum Algorithm for Linear Regression

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