Articles with "self learning" as a keyword



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Longitudinal self-learning of individualized treatment rules in a nutrient supplementation trial with missing data.

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Published in 2023 at "Statistics in medicine"

DOI: 10.1002/sim.9766

Abstract: Longitudinal outcomes are prevalent in clinical studies, where the presence of missing data may make the statistical learning of individualized treatment rules (ITRs) a much more challenging task. We analyzed a longitudinal calcium supplementation trial… read more here.

Keywords: supplementation; learning individualized; individualized treatment; self learning ... See more keywords
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Self learning-empowered thermal error control method of precision machine tools based on digital twin

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Published in 2021 at "Journal of Intelligent Manufacturing"

DOI: 10.1007/s10845-021-01821-z

Abstract: To improve machining accuracy of complex parts, a self learning-empowered thermal error control method of precision machine tools is presented based on digital twin. The memory of thermal error is theoretically and numerically revealed by… read more here.

Keywords: self learning; error; control; learning empowered ... See more keywords
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RETRACTED ARTICLE: Image retargeting based on self-learning 3D saliency for content-aware data analysis

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Published in 2017 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-017-4436-0

Abstract: Image retargeting is a process to change the resolution of image while preserve interesting regions and avoid obvious visual distortion. In other words, it focuses on image content more than anything else that applies to… read more here.

Keywords: image; self learning; information; image retargeting ... See more keywords
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Fuzzy Model Identification and Self Learning with Smooth Compositions

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Published in 2019 at "International Journal of Fuzzy Systems"

DOI: 10.1007/s40815-019-00725-8

Abstract: This paper develops a smooth model identification and self-learning strategy for dynamic systems taking into account possible parameter variations and uncertainties. We have tried to solve the problem such that the model follows the changes… read more here.

Keywords: self learning; model; fuzzy model; identification self ... See more keywords
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Development of an adaptive, self-learning control concept for an additive manufacturing process

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Published in 2017 at "Cirp Journal of Manufacturing Science and Technology"

DOI: 10.1016/j.cirpj.2017.05.002

Abstract: Abstract Error avoidance in high-precision manufacturing processes becomes more important for numerous state-of-the-art technologies. Selective laser melting is one of these technologies offering large potentials in the production of complex and flexible metal products. As… read more here.

Keywords: self learning; control concept; control; process ... See more keywords
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Self-learning methodology in simulated environments (MAES©) utilized in hospital settings. Action-research in an Emergency Department in the United Kingdom.

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Published in 2022 at "International emergency nursing"

DOI: 10.1016/j.ienj.2021.101128

Abstract: INTRODUCTION This article describes the impact of a simulation-based learning method on emergency nurses at the Royal Devon Hospital (Exeter, United Kingdom). OBJECTIVES To determine the training needs of nurses who were recently hired, as… read more here.

Keywords: learning methodology; training needs; methodology; emergency ... See more keywords
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Improving simulation performance through Self-Learning Methodology in Simulated Environments (MAES©).

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Published in 2019 at "Nurse education today"

DOI: 10.1016/j.nedt.2019.01.020

Abstract: BACKGROUND One of the main challenges faced by nursing educator is using the best strategy for students to learn. In MAES© (Self-learning methodology in simulated environments), the students are guided by a facilitator, and perform… read more here.

Keywords: learning methodology; methodology; self learning; performance ... See more keywords
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Didactic training vs. computer-based self-learning in the prediction of diminutive colon polyp histology by trainees: a randomized controlled study.

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Published in 2017 at "Endoscopy"

DOI: 10.1055/s-0043-116015

Abstract: Background and study aim Experts can accurately predict diminutive polyp histology, but the ideal method to train nonexperts is not known. The aim of the study was to compare accuracy in diminutive polyp histology characterization using… read more here.

Keywords: polyp histology; self learning; didactic training; histology ... See more keywords
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Optimising online review inspired product attribute classification using the self-learning particle swarm-based Bayesian learning approach

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Published in 2019 at "International Journal of Production Research"

DOI: 10.1080/00207543.2018.1535724

Abstract: Bowing to the burgeoning needs of online consumers, exploitation of social media content for extrapolating buyer-centric information is gaining increasing attention of researchers and practitioners from service science, data analytics, machine learning and associated domains.… read more here.

Keywords: learning particle; particle swarm; self learning; approach ... See more keywords
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Factors affecting online self-learning acceptance among older adults after the pandemic: living arrangements and gender as mediators

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Published in 2023 at "Educational Gerontology"

DOI: 10.1080/03601277.2023.2196497

Abstract: ABSTRACT Research on acceptance of online self-learning is regularly based on the technology acceptance model (TAM), but less has been discussed on older adults. This article expands TAM by taking living arrangements and gender as… read more here.

Keywords: acceptance; living arrangements; older adults; self learning ... See more keywords
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Investigation of multi-frame image super-resolution based on adaptive self-learning methods

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Published in 2017 at "Journal of Modern Optics"

DOI: 10.1080/09500340.2016.1210249

Abstract: ABSTRACT The goal of this paper is to introduce and demonstrate a new high-performance super-resolution (SR) method for multi-frame images. By combining learning-based and reconstruction-based SR methods, this paper proposes a multi-frame image super-resolution method… read more here.

Keywords: resolution; image; self learning; super resolution ... See more keywords