Feature discovery in NIR spectroscopy based Rocha pear classification-Reference-Cited by-同舟云学术

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Feature discovery in NIR spectroscopy based Rocha pear classification

Published:2021-09 Issue: Volume:177 Page:114949
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Daniel Mariana,Guerra Rui,Brázio António,Rodrigues Daniela,Cavaco Ana Margarida,Antunes Maria Dulce,Valente de Oliveira José

Funder

FCT

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference58 articles.

1. Text feature selection with a robust weight scheme and dynamic dimension reduction to text document clustering;Abualigah;Expert Systems with Applications,2017

2. Identification of asymptomatic plants infected with citrus tristeza virus from a time series of leaf spectral characteristics;Afonso;Computers and Electronics in Agriculture,2017

3. Feature extraction and classification for eeg signals using wavelet transform and machine learning techniques;Amin;Australasian Physical & Engineering Sciences in Medicine,2015

4. An expert target recognition system using a genetic wavelet neural network;Avci;Applied Intelligence,2012

5. Convolutional long short term memory deep neural networks for image sequence prediction;Balderas;Expert Systems with Applications,2019

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3. An improved one-class algorithm combined with NIR spectroscopy for detecting adulterated chemicals in weight-loss pills;Infrared Physics & Technology;2023-09

4. Discrimination of Chemical Oxygen Demand Pollution in Surface Water Based on Visible Near-Infrared Spectroscopy;Water;2022-09-23

5. Prediction of Six Products from the Cucurbitaceae Family Using Visible/Near-Infrared Spectroscopic Data;Journal of Testing and Evaluation;2022-08-17

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