Articles with "data quality" as a keyword



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Predictions of response to temperature are contingent on model choice and data quality

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Published in 2017 at "Ecology and Evolution"

DOI: 10.1002/ece3.3576

Abstract: Abstract The equations used to account for the temperature dependence of biological processes, including growth and metabolic rates, are the foundations of our predictions of how global biogeochemistry and biogeography change in response to global… read more here.

Keywords: temperature; response; predictions response; data quality ... See more keywords
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Data Quality Assessment for Super‐Resolution Fetal Brain MR Imaging: A Retrospective 1.5 T Study

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Published in 2021 at "Journal of Magnetic Resonance Imaging"

DOI: 10.1002/jmri.27665

Abstract: Super‐resolution is a promising technique to create isotropic image volumes from stacks of two‐dimensional (2D) motion‐corrupted images in fetal magnetic resonance imaging (MRI). read more here.

Keywords: resolution; assessment super; super resolution; data quality ... See more keywords
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Polymer thick film technology for improved simultaneous dEEG/MRI recording: Safety and MRI data quality

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Published in 2017 at "Magnetic Resonance in Medicine"

DOI: 10.1002/mrm.26116

Abstract: To develop a 256‐channel dense‐array electroencephalography (dEEG) sensor net (the Ink‐Net) using high‐resistance polymer thick film (PTF) technology to improve safety and data quality during simultaneous dEEG/MRI. read more here.

Keywords: deeg; thick film; data quality; simultaneous deeg ... See more keywords
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Managing Data Quality of the Data Warehouse: A Chance-Constrained Programming Approach

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Published in 2021 at "Information Systems Frontiers"

DOI: 10.1007/s10796-019-09963-5

Abstract: To make informed decisions, managers establish data warehouses that integrate multiple data sources. However, the outcomes of the data warehouse-based decisions are not always satisfactory due to low data quality. Although many studies focused on… read more here.

Keywords: quality; constrained programming; data warehouse; chance constrained ... See more keywords
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Statistical-Based Data Quality Model for Mobile Crowd Sensing Systems

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Published in 2018 at "Arabian Journal for Science and Engineering"

DOI: 10.1007/s13369-018-3374-0

Abstract: Quality of information is an emerging issue in the mobile crowd sensing (MCS). MCS is an essential computing paradigm that tasks everyday mobile devices to form crowd sensing networks. Nowadays, there is an increasing demand… read more here.

Keywords: quality; mobile crowd; data quality; sensory data ... See more keywords
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Data quality assessment of Diffusion Coefficient Measurements in ternary mIXtures 4 (DCMIX4) experiment

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Published in 2020 at "Acta Astronautica"

DOI: 10.1016/j.actaastro.2020.06.020

Abstract: Thermodiffusion, which leads to a component separation in a mixture due to the thermal gradient, still does not have an unambiguous microscopic picture. Therefore, experimental studies, especially in convection free environment , are important. As… read more here.

Keywords: ternary mixtures; diffusion coefficient; data quality; quality assessment ... See more keywords
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Getting High Quality Data to Drive Programs: How is the Quality of the Data Collection System Associated with the Quality of Routine Health Data in Malawi?

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Published in 2017 at "Annals of global health"

DOI: 10.1016/j.aogh.2017.03.010

Abstract: : LAN.005 Getting High Quality Data to Drive Programs: How is the Quality of the Data Collection System Associated with the Quality of Routine Health Data in Malawi? R. O’Hagan, M. Marx, K. Finnegan, P.… read more here.

Keywords: quality; malawi; data quality; quality routine ... See more keywords
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Scan planning for existing buildings without BIM based on user-defined data quality requirements and genetic algorithm

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Published in 2021 at "Automation in Construction"

DOI: 10.1016/j.autcon.2021.103841

Abstract: Abstract 3D laser scanning is a widely adopted technique to capture the conditions of existing buildings for as-is BIM reconstruction. The quality of the scan data directly affects the quality of the reconstructed BIM models.… read more here.

Keywords: existing buildings; data quality; quality; user defined ... See more keywords
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Towards a content agnostic computable knowledge repository for data quality assessment

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Published in 2019 at "Computer methods and programs in biomedicine"

DOI: 10.1016/j.cmpb.2019.05.017

Abstract: BACKGROUND AND OBJECTIVE In recent years, several data quality conceptual frameworks have been proposed across the Data Quality and Information Quality domains towards assessment of quality of data. These frameworks are diverse, varying from simple… read more here.

Keywords: knowledge repository; quality assessment; quality; data quality ... See more keywords
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The impact of data quality defects on clinical decision-making in the intensive care unit

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Published in 2021 at "Computer methods and programs in biomedicine"

DOI: 10.1016/j.cmpb.2021.106359

Abstract: OBJECTIVE Poor clinical data quality might affect clinical decision making and patient treatment. This study identifies quality defects in clinical data collected automatically by bedside monitoring devices in the Intensive Care Unit (ICU) and examines… read more here.

Keywords: quality; defects clinical; data quality; quality defects ... See more keywords
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Toward understanding outcomes associated with data quality improvement

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Published in 2017 at "International Journal of Production Economics"

DOI: 10.1016/j.ijpe.2017.08.027

Abstract: Business analytics is driving the way organizations compete. However, the decisions made as a result of any analytics process are greatly dependent on the quality of the data from which they are based. Scholars suggest… read more here.

Keywords: quality; quality improvement; toward understanding; data quality ... See more keywords