Results 1 to 10 of about 3,292,975 (323)
The Importance of Uncertainty Analysis and Traceable Measurements in Routine Quantitative 90Y-PET Molecular Radiotherapy: A Multicenter Experience [PDF]
Pharmaceuticals, 2023 Molecular Radiation Therapy (MRT) is a valid therapeutic option for a wide range of malignancies, such as neuroendocrine tumors and liver cancers. In its practice, it is generally acknowledged that there is a need to evaluate the influence of different ...
Marco D’Arienzo +7 more
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Uncertainty-Aware Principal Component Analysis [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2020 We present a technique to perform dimensionality reduction on data that is subject to uncertainty. Our method is a generalization of traditional principal component analysis (PCA) to multivariate probability distributions. In comparison to non-linear methods, linear dimensionality reduction techniques have the advantage that the characteristics of such
Gortler, Jochen +4 more
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Multidimensional Fractionation of Particles
Separations, 2023 The increasing complexity in particle science and technology requires the ability to deal with multidimensional property distributions. We present the theoretical background for multidimensional fractionations by transferring the concepts known from one ...
Uwe Frank +7 more
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Remote Sensing, 2022 With the continuous emergence of remote sensing technologies and atmospheric models, multi-source precipitation products (MSPs) are increasingly applied in hydrometeorological research, especially in ungauged or data-scarce regions.
Huajin Lei +3 more
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Pareto Analysis with Uncertainty [PDF]
2011 IFIP 9th International Conference on Embedded and Ubiquitous Computing, 2011 Pareto analysis is a broadly applicable method to model and analyze tradeoffs in multi-objective optimization problems. The set of Pareto optimal solutions is guaranteed to contain the best solution for any arbitrary cost function or selection procedure. This work introduces a method to explicitly take uncertainty into account during Pareto analysis. A
Hendriks, M., Geilen, M., Basten, T.
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Estimating uncertainty of model parameters obtained using numerical optimisation [PDF]
Modeling, Identification and Control, 2019 Obtaining accurate models that can predict the behaviour of dynamic systems is important for a variety of applications. Often, models contain parameters that are difficult to calculate from system descriptions.
Ole Magnus Brastein +3 more
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Uncertainty Evaluation on a 10.52 GHz (5 dBm) Optoelectronic Oscillator Phase Noise Performance
Micromachines, 2021 This paper describes a prototype of an optoelectronic oscillator delivering a microwave signal with a power of 5 dBm at 10.52 GHz, promised to be compacted.
Patrice Salzenstein +1 more
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Journal of Flood Risk Management, 2023 The main goal of this study is to identify the probability distribution of earthfill dam breach parameters using a dam failures database (3861 observations).
Alexandre Ângelo Carmo Luiz daSilva +1 more
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Uncertainties in the Seismic Assessment of Historical Masonry Buildings
Applied Sciences, 2021 Seismic assessments of historical masonry buildings are affected by several sources of epistemic uncertainty. These are mainly the material and the modelling parameters and the displacement capacity of the elements.
Igor Tomić +2 more
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Drones, 2022 Accurate retrieval of grassland traits is important to support management of pasture production and phenotyping studies. In general, conventional methods used to measure forage yield and quality rely on costly destructive sampling and laboratory analysis,
Marston H. D. Franceschini +3 more
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