Results 151 to 160 of about 8,393,375 (379)
Robuste Positions- und Kraftregelung für Industrieroboter mit Parameterunsicherheiten / Robust Position and force control for robot manipulators subject to Parameter uncertainties [PDF]
Eduard Reithmeier, G. Leitmann
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Parameter Uncertainty and Residual Estimation Risk
The notion of residual estimation risk is introduced in order to study the impact of parameter uncertainty on capital adequacy, for a given risk measure and capital estimation procedure. Residual estimation risk is derived by applying the risk measure on
V. Bignozzi, A. Tsanakas
semanticscholar +1 more source
Translating Muscle RNAseq Into the Clinic for the Diagnosis of Muscle Diseases
ABSTRACT Objective Approximately half of patients with hereditary myopathies remain without a definitive genetic diagnosis after DNA next‐generation sequencing (NGS). Here, we implemented transcriptome analysis of muscle biopsies as a complementary diagnostic tool for patients with muscle disease but no definitive genetic diagnosis after exome ...
Alba Segarra‐Casas+24 more
wiley +1 more source
EEG Response to Sedation Interruption Complements Behavioral Assessment After Severe Brain Injury
ABSTRACT Objective Accurate assessment of the level of consciousness and potential to recover in patients with severe brain injury underpins crucial decisions in the intensive care unit but remains a major challenge for the clinical team. The neurological wake‐up test is a widely used assessment tool. However, many patients' behavioral responses during
Charlotte Maschke+12 more
wiley +1 more source
Uncertainty Decomposition and Error Margin Detection of Homodyned-K Distribution in Quantitative Ultrasound [PDF]
Homodyned K-distribution (HK-distribution) parameter estimation in quantitative ultrasound (QUS) has been recently addressed using Bayesian Neural Networks (BNNs). BNNs have been shown to significantly reduce computational time in speckle statistics-based QUS without compromising accuracy and precision.
arxiv
Estimation of Modal Parameters and their Uncertainties [PDF]
In this paper it is shown how to estimate the modal parameters as well as their uncertainties using the prediction error method of a dynamic system on the basis of uotput measurements only. The estimation scheme is assessed by means of a simulation study.
Andersen, P., Brincker, Rune
openaire
As many patients with inflammatory arthritis (IA) have chronic pain, understanding how to best assess and manage pain in IA is a priority. Comorbid depression is prevalent in adults with IA, affecting 15% to 39% of people. Although pain and depression are thought to be associated in IA, this concept is largely based on cross‐sectional data.
Natasha Cox+3 more
wiley +1 more source
Parameter control in the presence of uncertainties
To understand and to be able to forecast natural phenomena is increasingly important nowadays, as those predictions are often the basis of many decisions, whether economical or ecological. In order todo so, mathematical models are introduced to represent the reality at a specific scale, and are then implemented numerically.
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Objective Explore moderators and mediators influenced changes in pain and function in people with knee osteoarthritis (OA) receiving a new model of primary care service delivery (PARTNER), at 12 months (ACTRN12617001595303). Methods Secondary analyses of a cluster randomized controlled trial comparing PARTNER to usual general practitioner‐delivered ...
Abdolhay Farivar+12 more
wiley +1 more source
Accuracy of spectral UV model calculations: 1. Consideration of uncertainties in input parameters [PDF]
Philipp Weihs, Ann R. Webb
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