Results 21 to 30 of about 2,320,360 (265)
A Quantitative Assessment of LIDAR Data Accuracy
Remote Sensing, 2023 Airborne laser scanning sensors are impressive in their ability to collect a large number of topographic points in three dimensions in a very short time thus providing a high-resolution depiction of complex objects in the scanned areas. The quality of any final product naturally depends on the original data and the methods of generating it.
Ahmed Elaksher +2 more
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Archives of Academic Emergency Medicine, 2017 Introduction:Â Esophagogastroduodenoscopy (EGD) is currently considered as the primary method of determining the degree of mucosal injury following caustic ingestion. The present study aimed to evaluate the screening performance characteristics of EGD in
Athena Alipour-Faz +2 more
doaj +3 more sources
An adaptive fused sampling approach of high-accuracy data in the presence of low-accuracy data
IISE Transactions, 2019 In several applications, a large amount of Low-Accuracy (LA) data can be acquired at a small cost.
Mostafa Reisi Gahrooei +3 more
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International Journal of Population Data ScienceIntroduction There are two main data sources for perinatal data in Ontario, Canada: the BORN BIS and CIHI-DAD. Such databases are used for perinatal health surveillance and research, and to guide health care related decisions.
Elizabeth Darling +2 more
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Accuracy of administrative claims data for polypectomy [PDF]
Canadian Medical Association Journal, 2011 The frequency of polypectomy is an important indicator of quality assurance for population-based colorectal cancer screening programs. Although administrative databases of physician claims provide population-level data on the performance of polypectomy, the accuracy of the procedure codes has not been examined.
Jonathan M, Wyse +3 more
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Medical Big Data Storage in Precision Medicine: A Systematic Review [PDF]
Journal of Biomedical Physics and EngineeringBackground: The characteristics of medical data in Precision Medicine (PM), the challenges related to their storage and retrieval, and the effective facilities to address these challenges are importantly considered in implementing PM. For this purpose, a
Mostafa Langarizadeh, Mehdi Hajebrahimi
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Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), 2020 This vision paper demonstrates that it is crucial to consider Return-on-Investment (ROI) when performing Data Analytics. Decisions on "How much analytics is needed"? are hard to answer. ROI could guide for decision support on the What?, How?, and How Much? analytics for a given problem. Method: The proposed conceptual framework is validated through two
Gouri Deshpande, Guenther Ruhe
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On the accuracy of RANS simulations with DNS data [PDF]
Physics of Fluids, 2016 Simulation results conducted for incompressible planar wall-bounded turbulent flows with the Reynolds-Averaged Navier-Stokes (RANS) equations with no modeling involved are presented. Instead, all terms but the molecular diffusion are represented by the data from direct numerical simulation (DNS).
Svetlana V, Poroseva +2 more
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The Accuracy of Three-Dimensional Soft Tissue Simulation in Orthognathic Surgery—A Systematic Review
Journal of ImagingThree-dimensional soft tissue simulation has become a popular tool in the process of virtual orthognathic surgery planning and patient–surgeon communication.
Anna Olejnik +4 more
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Satellite Orbit Prediction Using Big Data and Soft Computing Techniques to Avoid Space Collisions
Mathematics, 2021 The number of satellites and debris in space is dangerously increasing through the years. For that reason, it is mandatory to design techniques to approach the position of a given object at a given time.
Cristina Puente +3 more
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