Articles with "application machine" as a keyword



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Application of Machine Learning for Online Reputation Systems

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Published in 2021 at "International Journal of Automation and Computing"

DOI: 10.1007/s11633-020-1275-7

Abstract: Users on the Internet usually require venues to provide better purchasing recommendations. This can be provided by a reputation system that processes ratings to provide recommendations. The rating aggregation process is a main part of… read more here.

Keywords: reputation; rating aggregation; reputation systems; application machine ... See more keywords
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Application of machine learning methods to ambulatory circadian monitoring (ACM) for the discrimination of sleep and circadian disorders

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Published in 2017 at "Sleep Medicine"

DOI: 10.1016/j.sleep.2017.11.822

Abstract: Citation: Rodriguez-Morilla B, Estivill E, Estivill-Domènech C, Albares J, Segarra F, Correa A, Campos M, Rol MA and Madrid JA (2019) Application of Machine Learning Methods to Ambulatory Circadian Monitoring (ACM) for Discriminating Sleep and… read more here.

Keywords: machine learning; application machine; ambulatory circadian; learning methods ... See more keywords
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Application of Machine Learning in Spatial Proteomics

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Published in 2022 at "Journal of chemical information and modeling"

DOI: 10.1021/acs.jcim.2c01161

Abstract: Spatial proteomics is an interdisciplinary field that investigates the localization and dynamics of proteins, and it has gained extensive attention in recent years, especially the subcellular proteomics. Numerous evidence indicate that the subcellular localization of… read more here.

Keywords: spatial proteomics; machine learning; application machine; proteomic data ... See more keywords
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Application of Machine Learning to Classification of Volcanic Deformation in Routinely-Generated InSAR data

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Published in 2018 at "Journal of Geophysical Research"

DOI: 10.1029/2018jb015911

Abstract: Recent improvements in the frequency, type, and availability of satellite images mean it is now feasible to routinely study volcanoes in remote and inaccessible regions, including those with no ground-based monitoring. In particular, Interferometric Synthetic… read more here.

Keywords: volcanic deformation; machine learning; application machine; deformation ... See more keywords
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Application of machine learning in the diagnosis of axial spondyloarthritis

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Published in 2019 at "Current Opinion in Rheumatology"

DOI: 10.1097/bor.0000000000000612

Abstract: Purpose of review In this review article, we describe the development and application of machine-learning models in the field of rheumatology to improve the detection and diagnosis rates of underdiagnosed rheumatologic conditions, such as ankylosing… read more here.

Keywords: diagnosis; machine; ankylosing spondylitis; rheumatology ... See more keywords
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Application of Machine Learning to Evaluate Insulator Surface Erosion

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Published in 2020 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2019.2956300

Abstract: This article proposes a new automated inspection system that can estimate erosion in silicone rubber (SIR) samples using a computer vision-based method. In this work, we used SIR samples that were damaged under laboratory conditions.… read more here.

Keywords: sir samples; learning evaluate; erosion; application machine ... See more keywords
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Application of machine-learning methods in forest ecology: recent progress and future challenges

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Published in 2018 at "Environmental Reviews"

DOI: 10.1139/er-2018-0034

Abstract: Machine learning, an important branch of artificial intelligence, is increasingly being applied in sciences such as forest ecology. Here, we review and discuss three commonly used methods of machine learning (ML) including decision-tree learning, artificial… read more here.

Keywords: machine learning; application machine; future; forest ecology ... See more keywords
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Application of Machine Learning in Intelligent Medical Image Diagnosis and Construction of Intelligent Service Process

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Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/9152605

Abstract: The introduction of digital technology in the healthcare industry is marked by ongoing difficulties with implementation and use. Slow progress has been made in unifying different healthcare systems, and much of the globe still lacks… read more here.

Keywords: learning intelligent; diagnosis; machine learning; application machine ... See more keywords
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Application of machine learning techniques for creating urban microbial fingerprints

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Published in 2019 at "Biology Direct"

DOI: 10.1186/s13062-019-0245-x

Abstract: BackgroundResearch has found that human associated microbial communities play a role in homeostasis and the disruption of these communities may be important in an array of medical conditions. However outside of the human body many… read more here.

Keywords: city origin; application machine; urban microbial; city ... See more keywords
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The Application of Machine Learning Techniques in Clinical Drug Therapy.

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Published in 2019 at "Current computer-aided drug design"

DOI: 10.2174/1573409914666180525124608

Abstract: INTRODUCTION The development of a novel drug is an extremely complicated process that includes the target identification, design and manufacture, and proper therapy of the novel drug, as well as drug dose selection, drug efficacy… read more here.

Keywords: machine; machine learning; application machine; drug ... See more keywords
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Information Theory and Its Application in Machine Condition Monitoring

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Published in 2022 at "Entropy"

DOI: 10.3390/e24020206

Abstract: Rotating machinery is part and parcel of modern industrial applications [...]. read more here.

Keywords: condition monitoring; information theory; application machine; machine condition ... See more keywords