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Published in 2020 at "Coordination Chemistry Reviews"
DOI: 10.1016/j.ccr.2020.213487
Abstract: Abstract Machine learning (ML) is the field of computer science where computing systems are trained to perform an analysis of provided data to reveal previously unseen trends and patterns that allow accurate predictions. ML methods…
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Keywords:
research;
machine learning;
metal organic;
applications machine ... See more keywords
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Published in 2020 at "Applied Spectroscopy Reviews"
DOI: 10.1080/05704928.2020.1859525
Abstract: The way to analyze data in spectroscopy has changed substantially. At the same time, data science has evolved to the point where spectroscopy can find space to be housed, adapted and be functional....
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machine learning;
applications machine;
learning spectroscopy;
spectroscopy ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3069210
Abstract: Communication networks are expanding rapidly and becoming increasingly complex. As a consequence, the conventional rule-based algorithms or protocols may no longer perform at their best efficiencies in these networks. Machine learning (ML) has recently been…
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applications machine;
learning networking;
machine;
networking survey ... See more keywords
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Published in 2023 at "Journal of Healthcare Engineering"
DOI: 10.1155/2023/9805790
Abstract: [This retracts the article DOI: 10.1155/2021/9739219.].
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applications machine;
literature review;
machine learning;
retracted literature ... See more keywords
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Published in 2022 at "Frontiers in Nutrition"
DOI: 10.3389/fnut.2022.933130
Abstract: Research on obesity and related diseases has received attention from government policymakers; interventions targeting nutrient intake, dietary patterns, and physical activity are deployed globally. An urgent issue now is how can we improve the efficiency…
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Keywords:
applications machine;
machine learning;
mini review;
obesity ... See more keywords