Results 21 to 30 of about 432,022 (259)
Error Detection and Recovery Techniques for Variation-Aware CMOS Computing: A Comprehensive Review
Journal of Low Power Electronics and Applications, 2011 While Moore’s law scaling continues to double transistor density every technology generation, new design challenges are introduced. One of these challenges is variation, resulting in deviations in the behavior of transistors, most importantly in ...
Joseph Crop +6 more
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A Sharp Sufficient Condition for Sparsity Pattern Recovery [PDF]
Journal of Artificial Intelligence and Data Mining, 2020 Sufficient number of linear and noisy measurements for exact and approximate sparsity pattern/support set recovery in the high dimensional setting is derived.
Z. Shaeiri +2 more
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MODEL IDENTIFICATION OF PROPERTIES OF ERRORS IN DATA PROCESSING TECHNOLOGY
Открытое образование (Москва), 2016 The recognition problem is solved on the basis of the properties of the statistical classification structure errors, referred to as defects. Classification is performed by agglomerative cluster analysis on Euclidean metric.
George N. Isaev
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Computers, 2019 Since lossless compression can only achieve two to four times data compression, it may not be efficient to deploy lossless compression in bandwidth constrained applications. Instead, it would be more economical to adopt perceptually lossless compression,
Chiman Kwan +5 more
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Influence of current error controller on commutation failures and system recovery
电力工程技术, 2022 Constant extinction angle control based on prediction is a basic control strategy of inverter in line-commutated converter high-voltage direct current (HVDC) system.
SONG Xinfu +5 more
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Frontiers in Human Neuroscience, 2015 Post-error slowing is an error recovery strategy that contributes to action control, and occurs after errors in order to prevent future behavioral flaws.
Takahiro eSoshi +6 more
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Data Fit (Stress) vs. Model Fit (Recovery) in Multidimensional Scaling
Austrian Journal of Statistics, 2020 The paper studies the relation of data fit (Stress) and model fit (recovery of a true latent configuration superimposed with random error) depending on the number of points and the error level in the data when running ordinal and interval MDS.
Ingwer Borg
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Error Propagation and Recovery in Concurrent Environments [PDF]
The Computer Journal, 1985 Summary: Backward error recovery is a popular technique for recovery from unexpected system failures. In a concurrent processing environment, the synchronisation constraints and the propagation of erroneous information between processes tend to make recovery very complex and expensive.
Krishna Kant 0001, Abraham Silberschatz
openaire +2 more sources
Real-space RG, error correction and Petz map
Journal of High Energy Physics, 2022 There are two parts to this work: first, we study the error correction properties of the real-space renormalization group (RG). The long-distance operators are the (approximately) correctable operators encoded in the physical algebra of short-distance ...
Keiichiro Furuya +2 more
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Dietary Protein Intake and Peritoneal Protein Losses in Peritoneal Dialysis Patients
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Peritoneal dialysis (PD) patients lose protein in their waste dialysate, potentially increasing their risk for malnutrition. We wished to determine whether there was any association between losses and dietary protein intake (DPI). Methods DPI was assessed from 24‐h dietary recall using Nutrics software.
Haalah Shaaker, Andrew Davenport
wiley +1 more source