Articles with "automated feature" as a keyword



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Automated feature selection for a machine learning approach toward modeling a mosquito distribution

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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… read more here.

Keywords: machine; feature selection; automated feature; selection machine ... See more keywords
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An automated feature extraction method with application to empirical model development from machining power data

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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,… read more here.

Keywords: feature extraction; automated feature; method; model ... See more keywords
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BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria

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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… read more here.

Keywords: feature; noncoding rnas; feature engineering; automated feature ... See more keywords
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CNN and KPCA-Based Automated Feature Extraction for Real Time Driving Pattern Recognition

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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)… read more here.

Keywords: feature extraction; automated feature; extraction; cnn ... See more keywords