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Error Propagation in the Simulation of Atherosclerotic Plaque Growth and the Prediction of Atherosclerotic Disease Progression [PDF]
Diagnostics, 2021 Assessments of coronary artery disease can be achieved using non-invasive computed tomography coronary angiography (CTCA). CTCA can be further used for the 3D reconstruction of the coronary arteries and the development of computational models.
Antonis I. Sakellarios +12 more
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Error propagation in the hypercycle [PDF]
Physical Review E, 2000 We study analytically the steady-state regime of a network of n error-prone self-replicating templates forming an asymmetric hypercycle and its error tail. We show that the existence of a master template with a higher non-catalyzed self-replicative productivity, a, than the error tail ensures the stability of chains in which ...
Campos, P. R. A. +2 more
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Error Propagation Analysis for Quantitative Intracellular Metabolomics [PDF]
Metabolites, 2012 Model-based analyses have become an integral part of modern metabolic engineering and systems biology in order to gain knowledge about complex and not directly observable cellular processes. For quantitative analyses, not only experimental data, but also
Jana Tillack +4 more
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Error propagation in polarimetric demodulation [PDF]
Applied Optics, 2008 18 pages, 3 figures, accepted for publication in Applied ...
Ramos, A. Asensio, Collados, M.
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Fast Video Encryption Using the H.264 Error Propagation Property for Smart Mobile Devices [PDF]
Sensors, 2015 In transmitting video data securely over Video Sensor Networks (VSNs), since mobile handheld devices have limited resources in terms of processor clock speed and battery size, it is necessary to develop an efficient method to encrypt video data to meet ...
Yongwha Chung +3 more
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Differentiable Predictions for Large Scale Structure with SHAMNet
The Open Journal of Astrophysics, 2022 Neural nets have become popular to accelerate parameter inferences, especially for the upcoming generation of galaxy surveys in cosmology. As neural nets are approximative by nature, a recurrent question has been how to propagate the neural net's ...
Daniela Grandón, Elena Sellentin
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Determination of the Variance of Complex Calculated Clinical Chemistry Tests; Application in Calculated Low Density Lipoprotein and Atherogenic Index of Plasma [PDF]
Journal of Clinical and Diagnostic Research, 2020 Introduction: Measurement uncertainty is the random error component of the measurement and is an interval around the measured value, into which the true value lies with some probability.
Christina Tsigalou +4 more
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Pauli Error Propagation-Based Gate Rescheduling for Quantum Circuit Error Mitigation
IEEE Transactions on Quantum Engineering, 2022 Noisy intermediate-scale quantum algorithms, which run on noisy quantum computers, should be carefully designed to boost the output state fidelity. While several compilation approaches have been proposed to minimize circuit errors, they often omit the ...
Vedika Saravanan, Samah M. Saeed
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Resonance, 2021 The computer can read but understand does it? When we read, we notice errors, both in the text itself, as in the previous sentence, and in our own interpretation. Modern natural language processing can extract information from vast amounts of text but are oblivious to errors. This leads to a problem called error propagation: errors from one part of the
Arvind Singh, Priyanka Chaturvedi
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Error Propagation of Capon’s Minimum Variance Estimator
Frontiers in Physics, 2021 The error propagation of Capon’s minimum variance estimator resulting from measurement errors and position errors is derived within a linear approximation.
S. Toepfer +5 more
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