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1
Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels
Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels
Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels
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Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels

William Wei Hsieh

Cambridge University Press 2009

Acesso online. A biblioteca também possui exemplares impressos.

2
Soybean Yield Estimation and Its Components: A Linear Regression Approach
Soybean Yield Estimation and Its Components: A Linear Regression Approach
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Soybean Yield Estimation and Its Components: A Linear Regression Approach

Marcelo Chan Fu Wei José Paulo Molin

Agriculture v. 10, art. 348, p. 1-13, 2020

Basel 2020

Item não circula. Consulte sua biblioteca.(Acessar)

3
Sugarcane Yield Mapping Using High-Resolution Imagery Data and Machine Learning Technique
Sugarcane Yield Mapping Using High-Resolution Imagery Data and Machine Learning Technique
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Artigo 		Adicionar ao Meu Espaço

Sugarcane Yield Mapping Using High-Resolution Imagery Data and Machine Learning Technique

Tatiana Fernanda Canata Marcelo Chan Fu Wei; Leonardo Felipe Maldaner; José Paulo Molin

Remote Sensing Basel v. 13, art. 232, p. 1-14, January 2021

Basel 2021

Item não circula. Consulte sua biblioteca.(Acessar)

4
The (Re)-evolution of Quantitative Structure–Activity Relationship (QSAR) studies propelled by the surge of machine learning methods [Editorial]
The (Re)-evolution of Quantitative Structure–Activity Relationship (QSAR) studies propelled by the surge of machine learning methods [Editorial]
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The (Re)-evolution of Quantitative Structure–Activity Relationship (QSAR) studies propelled by the surge of machine learning methods [Editorial]

Thereza A. Soares Ariane Ferreira Nunes Alves; Angelica Mazzolari; Fiorella Ruggiu; Guo-Wei Wei; Kenneth Merz

Journal of Chemical Information and Modeling Washington v. 62, n. 22, p. 5317-5320, 2022

Washington 2022

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 3140378 Acervo Digital )(Acessar)

5
Carrot yield mapping a precision agriculture approach based on machine learning
Carrot yield mapping a precision agriculture approach based on machine learning
Material Type:
Artigo 		Adicionar ao Meu Espaço

Carrot yield mapping a precision agriculture approach based on machine learning

Marcelo Chan Fu Wei Leonardo Felipe Maldaner; Pedro Medeiros Netto Ottoni; José Paulo Molin

AI v. 1, n. 2, p.229-241, 2020

Basel 2020

Item não circula. Consulte sua biblioteca.(Acessar)

6
Coffee-yield estimation using high-resolution time-series satellite images and machine learning
Coffee-yield estimation using high-resolution time-series satellite images and machine learning
Material Type:
Artigo 		Adicionar ao Meu Espaço

Coffee-yield estimation using high-resolution time-series satellite images and machine learning

Maurício Martello José Paulo Molin; Marcelo Chan Fu Wei; Ricardo Canal Filho; João Vitor Moreira Nicoletti

AgriEngineering Basel v. 4, p. 888-902, 2022

Basel 2022

Item não circula. Consulte sua biblioteca.(Acessar)

7
Soil attributes mapping with online near-infrared spectroscopy requires spatio-temporal local calibrations
Soil attributes mapping with online near-infrared spectroscopy requires spatio-temporal local calibrations
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Soil attributes mapping with online near-infrared spectroscopy requires spatio-temporal local calibrations

Ricardo Canal Filho José Paulo Molin; Marcelo Chan Fu Wei; Eudocio Rafael Otavio da Silva

AgriEngineering Basel v. 5, art. 2023, p. 1163–1177, 2023

Basel 2023

Item não circula. Consulte sua biblioteca.(Acessar)

8
Can deep models benefit from standard preprocessing of pulsed thermography data?
Can deep models benefit from standard preprocessing of pulsed thermography data?
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Can deep models benefit from standard preprocessing of pulsed thermography data?

Z. Wei A Osman; D Muller; H Fernandes; José Ricardo Tarpani; X Maldague; International Conference on Infrared, Millimeter and Terahertz Waves - IRMMW-THz (47th. : 2022 : Delft, Netherlands)

Piscataway, NJ, USA IEEE 2022

Localização: EESC - Esc. Engenharia de São Carlos    (PROD-025286 )(Acessar)

9
Computational methods of feature selection
Computational methods of feature selection
Material Type:
Livro 		Adicionar ao Meu Espaço

Computational methods of feature selection

Huan Liu 1958-; Hiroshi Motoda

Boca Raton Chapman & Hall/CRC c2008

Localização: ICMC - Inst. Ciên. Mat. Computação    (68T75.30 C738 e.1 )(Acessar)

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