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Published in 2017 at "Ecological Modelling"
DOI: 10.1016/j.ecolmodel.2017.02.029
Abstract: This paper introduces a data science method to determine a set of features for training a vector support machine (SVM). The SVM is used to model the relationship between the distribution of one particular invasive…
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Keywords:
machine;
feature selection;
automated feature;
selection machine ... See more keywords
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Published in 2019 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2019.01.023
Abstract: Abstract Machining shop floor jobs are rarely optimised for minimisation of the energy consumption, as no clear guidelines exist in operating procedures and high production rates and finishing quality are requirements with higher priorities. However,…
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Keywords:
feature extraction;
automated feature;
method;
model ... See more keywords
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Published in 2022 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbac218
Abstract: Abstract Recent technological advances have led to an exponential expansion of biological sequence data and extraction of meaningful information through Machine Learning (ML) algorithms. This knowledge has improved the understanding of mechanisms related to several…
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Keywords:
feature;
noncoding rnas;
feature engineering;
automated feature ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2938768
Abstract: Driving conditions greatly affect the energy control and the fuel economy of a hybrid electric vehicle (HEV). In this paper, an automated feature extraction scheme based on convolution neural networks (CNNs) and Kernel PCA (KPCA)…
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Keywords:
feature extraction;
automated feature;
extraction;
cnn ... See more keywords