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The assessment of the quality of sugar using electronic tongue and machine learning algorithms

Universidade Federal de São Carlos (UFSCar); Universidade Estadual Paulista (Unesp) (2012-12-01)

The correct classification of sugar according to its physico-chemical characteristics directly influences the value of the product and its acceptance by the market. This study shows that using an electronic tongue system ...

The assessment of the quality of sugar using electronic tongue and machine learning algorithms

Universidade Federal de São Carlos (UFSCar); Universidade Estadual Paulista (Unesp) (2012-12-01)

Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers

Awad, Mariette; Khanna, Rahul

Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information ...

Statistical machine-learning methods for genomic prediction using the SKM library

Montesinos-Lopez, O.A.; Mosqueda-Gonzalez, B.A.; Montesinos-Lopez, A.; Crossa, J. (MDPI, 2023)

A machine learning strategy for computing interface curvature in Front-Tracking methods

Universidade de São Paulo (USP); Universidade Estadual Paulista (UNESP) (2022-02-01)

In this work we have described the application of a machine learning strategy to compute the interface curvature in the context of a Front-Tracking framework. Based on angular information of normal and tangential vectors ...

Machine Learning for Web Intrusion Detection: A Comparative Analysis of Feature Selection Methods mRMR and PFI

Universidade Estadual Paulista (UNESP); College of Technology (2020-01-01)

Select from the best features in a complex dataset that is a critical task for machine learning algorithms. This work presents a comparative analysis between two resource selection techniques: Minimum Redundancy Maximum ...

Application of machine learning methods in forecasting sales prices in a project consultancyApplication of machine learning methods in forecasting sales prices in a project consultancy

dos Santos Pereira, Alexandre; Carneiro Gonçalves, Marcelo; Oscar Benitez Nara, Elpidio; de Freitas Ferraz, Thales (UFRGS, 2023)

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The assessment of the quality of sugar using electronic tongue and machine learning algorithms

The assessment of the quality of sugar using electronic tongue and machine learning algorithms

Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers

Statistical machine-learning methods for genomic prediction using the SKM library

A machine learning strategy for computing interface curvature in Front-Tracking methods

Machine Learning for Web Intrusion Detection: A Comparative Analysis of Feature Selection Methods mRMR and PFI

Application of machine learning methods in forecasting sales prices in a project consultancyApplication of machine learning methods in forecasting sales prices in a project consultancy

Decomposition Methods for Machine Learning with Small, Incomplete or Noisy Datasets

The assessment of the quality of sugar using electronic tongue and machine learning algorithms

Decomposition Methods for Machine Learning with Small, Incomplete or Noisy Datasets

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The assessment of the quality of sugar using electronic tongue and machine learning algorithms

The assessment of the quality of sugar using electronic tongue and machine learning algorithms

Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers

Statistical machine-learning methods for genomic prediction using the SKM library

A machine learning strategy for computing interface curvature in Front-Tracking methods

Machine Learning for Web Intrusion Detection: A Comparative Analysis of Feature Selection Methods mRMR and PFI

Application of machine learning methods in forecasting sales prices in a project consultancyApplication of machine learning methods in forecasting sales prices in a project consultancy

Decomposition Methods for Machine Learning with Small, Incomplete or Noisy Datasets

The assessment of the quality of sugar using electronic tongue and machine learning algorithms

Decomposition Methods for Machine Learning with Small, Incomplete or Noisy Datasets