Results 11 to 20 of about 1,504,964 (284)
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 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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Remote Sensing, 2020 The error characterization of satellite observations is crucial for blending observations from multiple platforms into a unique dataset and for assimilating them into numerical weather prediction models.
Verónica González-Gambau +6 more
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Inkjet-Printed Temperature Sensors Characterized according to Standards
Sensors, 2022 This paper describes the characterization of inkjet-printed resistive temperature sensors according to the international standard IEC 61928-2. The goal is to evaluate such sensors comprehensively, to identify important manufacturing processes, and to ...
Jonas Jäger +5 more
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Robustness and modeling error characterization [PDF]
IEEE Transactions on Automatic Control, 1984 Robustness as used in this paper refers to robust stability of a linear control system subject to a specific class of modeling errors. The results presented are an extension of those given earlier by the authors [ibid. AC-26, 75-93 (1981; Zbl 0459.93024)].
Lehtomaki, Norman A. +5 more
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SURFACE COMPLEXITY COMPONENT OF LIDAR POINT CLOUD ERROR CHARACTERIZATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 There are several data product characterization methods to describe LiDAR data quality. Typically based on guidelines developed by government or professional societies, these techniques require the statistical analysis of vertical differences at known ...
C. Toth, D. Grejner-Brzezinska
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Range-only underwater target localization : error characterization [PDF]
, 2016 Locating a target from range measurements using only one mobile transducer has been increased over the last years. This method allows us to reduce the high costs of deployment and maintenance of traditional fixed systems on the seafloor such as Long
Gomáriz Castro, Spartacus +5 more
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Characterization of analytical errors in thromboelastography interpretation
Practical Laboratory Medicine, 2021 Interpretation of Thromboelastography (TEG) curve involves correlating patient's clinical profile with TEG parameters and the tracing, keeping in mind the potential sources of errors, and hence requires expertise. We aimed to analyse the analytical errors in TEG interpretation due to paucity of literature in this regard.The retrospective study was ...
Tapasyapreeti Mukhopadhyay +3 more
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Property Checking with Interpretable Error Characterization for Recurrent Neural Networks
Machine Learning and Knowledge Extraction, 2021 This paper presents a novel on-the-fly, black-box, property-checking through learning approach as a means for verifying requirements of recurrent neural networks (RNN) in the context of sequence classification.
Franz Mayr, Sergio Yovine, Ramiro Visca
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