Results 1 to 10 of about 1,504,964 (284)
454 antibody sequencing - error characterization and correction [PDF]
BMC Research Notes, 2011 Background 454 sequencing is currently the method of choice for sequencing of antibody repertoires and libraries containing large numbers (106 to 1012) of different molecules with similar frameworks and variable regions which poses significant challenges
Prabakaran Ponraj +3 more
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Regularization and error characterization of GRACE mascons. [PDF]
J Geod, 2019 We present a new global time-variable gravity mascon solution derived from Gravity Recovery and Climate Experiment (GRACE) Level 1B data. The new product from the NASA Goddard Space Flight Center (GSFC) results from a novel approach that combines an iterative solution strategy with geographical binning of inter-satellite range-acceleration residuals in
Loomis BD, Luthcke SB, Sabaka TJ.
europepmc +5 more sources
Error characterization and error correction approaches in combinatorial DNA-based storage [PDF]
Scientific ReportsData storage in DNA has recently emerged as a promising archival solution, offering space-efficient and long-lasting digital storage. DNA’s ultra-high density and durability make it an attractive medium for long-term data storage.
Inbal Preuss +5 more
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Modeling measurement error in tumor characterization studies [PDF]
BMC Bioinformatics, 2011 Background Etiologic studies of cancer increasingly use molecular features such as gene expression, DNA methylation and sequence mutation to subclassify the cancer type.
Marjoram Paul +4 more
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Medical error: concept, characterization and management [PDF]
Saúde e Sociedade, 2019 The objective of this study is to better understand the tensions involved in the fear of making an error due to the harm and risk this would pose to those involved.
Vitor Mendonça +2 more
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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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Accountable Error Characterization [PDF]
Proceedings of the First Workshop on Trustworthy Natural Language Processing, 2021 Customers of machine learning systems demand accountability from the companies employing these algorithms for various prediction tasks. Accountability requires understanding of system limit and condition of erroneous predictions, as customers are often interested in understanding the incorrect predictions, and model developers are absorbed in finding ...
Misra, Amita, Liu, Zhe, Mahmud, Jalal
openaire +2 more sources
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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TanDEM-X PolarDEM 90 m of Antarctica: generation and error characterization [PDF]
The Cryosphere, 2021 We present the generation and validation of an updated version of the TanDEM-X digital elevation model (DEM) of Antarctica: the TanDEM-X PolarDEM 90 m of Antarctica.
B. Wessel +13 more
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