Articles with "applications machine" as a keyword



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Applications of machine learning in metal-organic frameworks

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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… read more here.

Keywords: research; machine learning; metal organic; applications machine ... See more keywords
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Applications of machine learning in spectroscopy

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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.... read more here.

Keywords: machine learning; applications machine; learning spectroscopy; spectroscopy ... See more keywords
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Applications of Machine Learning in Networking: A Survey of Current Issues and Future Challenges

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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… read more here.

Keywords: applications machine; learning networking; machine; networking survey ... See more keywords
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Retracted: Literature Review on the Applications of Machine Learning and Blockchain Technology in Smart Healthcare Industry: A Bibliometric Analysis

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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.]. read more here.

Keywords: applications machine; literature review; machine learning; retracted literature ... See more keywords
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Applications of Machine Learning Models to Predict and Prevent Obesity: A Mini-Review

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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… read more here.

Keywords: applications machine; machine learning; mini review; obesity ... See more keywords