Results 11 to 20 of about 6,085,361 (298)
ERROR CHARACTERIZATION IN INTENSIVE CARE NURSING
Cogitare Enfermagem, 2016 This study aimed to identify errors in nursing care in an intensive care unit, according to the nursing staff, and discuss the main ones according to Human Error Theory. This was a cross-sectional study, and the scenario was an intensive
Sabrina da Costa Machado Duarte +3 more
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Structural and statistical properties of the collocation technique for error characterization [PDF]
Nonlinear Processes in Geophysics, 2012 The validation of geophysical data sets (e.g. derived from models, exploration techniques or remote sensing) presents a formidable challenge as all products are inherently different and subject to errors.
S. Zwieback +3 more
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Machine Learning Inversion Method for Elastoplastic Constitutive Parameters of Encapsulation Materials [PDF]
NanomaterialsAccurate measurement of material mechanics parameters is crucial for evaluating process quality and product reliability and is a major challenge in the development of 3D heterogeneous integration technology.
Mingqi Gao +8 more
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Using machine learning to model uncertainty for water vapor atmospheric motion vectors [PDF]
Atmospheric Measurement Techniques, 2021 Wind-tracking algorithms produce atmospheric motion vectors (AMVs) by tracking clouds or water vapor across spatial–temporal fields. Thorough error characterization of wind-tracking algorithms is critical in properly assimilating AMVs into weather ...
J. V. Teixeira +4 more
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Statistical process control of commercial force-sensing resistors [PDF]
Metrology and Measurement Systems, 2022 The manufacturing and characterization of polymer nanocomposites is an active research trend nowadays. Nonetheless, statistical studies of polymer nanocomposites are not an easy task since they require several factors to consider, such as: large amount ...
Carlos Andrés Palacio Gómez +2 more
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IEEE transactions on intelligent transportation systems (Print), 2022 Localization integrity consists in providing a real-time measure of the level of trust to be placed in the localization estimates as vehicles operate. It provides a means of knowing whether position estimates are usable for navigation purposes.
Joelle Al Hage +3 more
semanticscholar +1 more source
Analytic characterization of random errors in spectral dual-polarized cloud radar observations [PDF]
Atmospheric Measurement Techniques, 2022 This study presents the first-ever complete characterization of random errors in dual-polarimetric spectral observations of meteorological targets by cloud radars.
A. Myagkov, D. Ori
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Error Characterization, Mitigation, and Recovery in Flash-Memory-Based Solid-State Drives [PDF]
Proceedings of the IEEE, 2017 NAND flash memory is ubiquitous in everyday life today because its capacity has continuously increased and cost has continuously decreased over decades.
Yu Cai +4 more
semanticscholar +1 more source
Error Estimation of Pathfinder Version 5.3 Level-3C SST Using Extended Triple Collocation Analysis
Remote Sensing, 2020 Sea Surface Temperature (SST) is an essential climate variable (ECV) for monitoring the state and detecting changes in the climate. The concept of ECVs, developed by the Global Climate Observing System (GCOS) program of the World Meteorological ...
Korak Saha +3 more
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Towards Automated Error Analysis: Learning to Characterize Errors
The International FLAIRS Conference Proceedings, 2022 Characterizing the patterns of errors that a system makes helps researchers focus future development on increasing its accuracy and robustness. We propose a novel form of "meta learning" that automatically learns interpretable rules that characterize the types of errors that a system makes, and demonstrate these rules' ability to help understand and ...
Tong Gao, Shivang Singh, Raymond Mooney
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