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Use of VIS-NIRS for land management classification with a support vector machine and prediction of soil organic carbon and other soil properties

Guillaume Debaene,Dorota Pikula,Jacek Niedzwiecki

The objective of this research was to investigate the effects of a long-term experiment on soil spectral properties and to develop prediction models of these properties (soil organic carbon (SOC), N, pH, Hh, P2O5, K2O, Ca, Mg, K, and Na content) from text... see more

Ciencia e investigación agraria , 2014

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Use of VIS-NIRS for land management classification with a support vector machine and prediction of soil organic carbon and other soil properties

Guillaume Debaene, Dorota Pikula, Jacek Niedzwiecki

Ciencia e investigación agraria , 2014

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Community Purchase Decision Modeling in Bali with Non-Linier Methods

Ni Putu Nanik Hendayanti, Maulida Nurhidayati, Siti Soraya, Habib Ratu Perwira Negara

The Covid-19 pandemic has resulted in all activities having to be carried out by implementing physical distancing or social distancing in accordance with health protocols for mutual safety. The government encourages people to do more activities at home, i... see more

MATRIK : Jurnal Manajemen; Teknik Informatika dan Rekayasa Komputer , 2022

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PERMANENT SYNCHRON MAGNET MOTOR SPEED OBSERVER BASED ON LEAST SQUARES SUPPORT VECTOR MACHINE REGRESSION

Muldi Yuhendri, Hambali Hambali, Mukhlidi Muskhir

Motor speed control requires motor speed data as feedback from control actions. Motor speed data is usually obtained from the speed sensor. In this paper, the motor speed observer for permanent magnet synchronous motor is proposed to obtain motor speed da... see more

Motor magnet permanen | observer kecepatan | MRAS | LSSVMR

Jurnal Informasi Teknologi dan Pendidikan , 2020

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Least square support vector machine classifier vs a logistic regression classifier on the recognition of numeric digits

Danilo A. López-Sarmiento, Héctor C. Manta-Caro, Nelson E. Vera-Parra

Support vector machine | least square | logistic regression | classifier | numeric digits.

Tecnologicas , 2013

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Least square support vector machine classifier vs a logistic regression classifier on the recognition of numeric digits

Danilo A. López-Sarmiento, Héctor C. Manta-Caro, Nelson E. Vera-Parra

Support vector machine | least square | logistic regression | classifier | numeric digits.

Tecnologicas , 2013

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Measurement of food colour in Lab* units from RGB digital image using least squares support vector machine regression

Roberto Romaniello, Alessandro Leone, Giorgio Peri

The aim of this work is to evaluate the potential of least squares support vector machine (LS-SVM) regression to develop an efficient method to measure the colour of food materials in L*a*b* units by means of a computer vision systems (CVS). A laboratory ... see more

Journal of Agricultural Engineering , 2015

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Least square support vector machine classifier vs a logistic regression classifier on the recognition of numeric digits

Danilo A. López-Sarmiento, Héctor C. Manta-Caro, Nelson E. Vera-Parra

Support vector machine | least square | logistic regression | classifier | numeric digits.

Tecno Lógicas , 2013

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Comparison of LSSVR, M5RT, NF-GP, and NF-SC Models for Predictions of Hourly Wind Speed and Wind Power Based on Cross-Validation

Accurate predictions of wind speed and wind energy are essential in renewable energy planning and management. This study was carried out to test the accuracy of two different neuro fuzzy techniques (neuro fuzzy system with grid partition (NF-GP) and neuro... see more

Energies , 2019

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