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Published in 2022 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-021-01890-0
Abstract: In order to manufacture products at low cost, machine learning (ML) is increasingly used in production, especially in high wage countries. Therefore, we introduce our PREFERML AutoML system, which is adapted to the production environment.…
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Keywords:
automl;
cost;
algorithms error;
prediction manufacturing ... See more keywords
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Published in 2020 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2020.101822
Abstract: OBJECTIVE This work aims to provide a review of the existing literature in the field of automated machine learning (AutoML) to help healthcare professionals better utilize machine learning models "off-the-shelf" with limited data science expertise.…
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Keywords:
machine;
automl;
machine learning;
field ... See more keywords
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Published in 2021 at "Environmental research"
DOI: 10.1016/j.envres.2021.111720
Abstract: Generation of unprocessed effluents, municipal refuse, factory wastes, junking of compostable and non-compostable effluents has hugely contaminated nature-provided water bodies like rivers, lakes and ponds. Therefore, there is a necessity to look into the water…
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Keywords:
automl;
machine learning;
water;
automating water ... See more keywords
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Published in 2025 at "Sensor Review"
DOI: 10.1108/sr-01-2025-0030
Abstract: Purpose This paper proposes a scheme using automated machine learning (AutoML) to address the nonlinear characteristics of eddy current sensors, making traditional linear fitting methods inadequate. The purpose of this paper is to enhance fitting…
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Keywords:
eddy current;
automl;
current sensor;
fitting analysis ... See more keywords