Results 11 to 20 of about 26,410,412 (273)

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, Emilio Mezzenga, Amedeo Capotosti, Oreste Bagni, Luca Filippi, Marco Capogni, Luca Indovina, Anna Sarnelli   +7 more
doaj   +2 more sources

The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment

EFSA Journal, 2018
To meet the general requirement for transparency in EFSA's work, all its scientific assessments must consider uncertainty. Assessments must say clearly and unambiguously what sources of uncertainty have been identified and what is their impact on the ...
EFSA Scientific Committee, Diane Benford, Thorhallur Halldorsson, Michael John Jeger, Helle Katrine Knutsen, Simon More, Hanspeter Naegeli, Hubert Noteborn, Colin Ockleford, Antonia Ricci, Guido Rychen, Josef R Schlatter, Vittorio Silano, Roland Solecki, Dominique Turck, Maged Younes, Peter Craig, Andrew Hart, Natalie Von Goetz, Kostas Koutsoumanis, Alicja Mortensen, Bernadette Ossendorp, Andrea Germini, Laura Martino, Caroline Merten, Olaf Mosbach‐Schulz, Anthony Smith, Anthony Hardy   +27 more
doaj   +2 more sources

Guidance on Uncertainty Analysis in Scientific Assessments [PDF]

EFSA Journal, 2018
Uncertainty analysis is the process of identifying limitations in scientific knowledge and evaluating their implications for scientific conclusions. It is therefore relevant in all EFSA's scientific assessments and also necessary, to ensure that the assessment conclusions provide reliable information for decision-making.
EFSA Scientific Committee, Diane Benford, Thorhallur Halldorsson, Michael John Jeger, Helle Katrine Knutsen, Simon More, Hanspeter Naegeli, Hubert Noteborn, Colin Ockleford, Antonia Ricci, Guido Rychen, Josef R Schlatter, Vittorio Silano, Roland Solecki, Dominique Turck, Maged Younes, Peter Craig, Andrew Hart, Natalie Von Goetz, Kostas Koutsoumanis, Alicja Mortensen, Bernadette Ossendorp, Laura Martino, Caroline Merten, Olaf Mosbach‐Schulz, Anthony Hardy   +25 more
openaire   +8 more sources

Attitude Uncertainty Analysis of a Three-Vehicle Constrained Formation [PDF]

Sensors, 2022
The uncertainty analysis of attitude estimates enables the comparison between different methods, and, thus, it is important for practical applications.
Pedro Cruz, Pedro Batista
doaj   +2 more sources

Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters

Engineering Applications of Computational Fluid Mechanics, 2019
In this study, ensemble models using the Bates–Granger approach and least square method are developed to combine forecasts of multi-wavelet artificial neural network (ANN) models.
Shahaboddin Shamshirband, Ehsan Jafari Nodoushan, Jason E. Adolf, Azizah Abdul Manaf, Amir Mosavi, Kwok-wing Chau   +5 more
doaj   +2 more sources

Modeling and Uncertainty Analysis of Groundwater Level Using Six Evolutionary Optimization Algorithms Hybridized with Anfis, SVM, and Ann [PDF]

Sustainability, 2020
In the present study, six meta-heuristic schemes are hybridized with artificial neural network (ANN), adaptive neuro-fuzzy interface system (ANFIS), and support vector machine (SVM), to predict monthly groundwater level (GWL), evaluate uncertainty ...
A. Seifi, M. Ehteram, V. Singh, A. Mosavi   +3 more
semanticscholar   +1 more source

Parameter estimation and uncertainty analysis in hydrological modeling

WIREs Water, 2021
Nowadays, mathematical models of hydrological systems are used routinely to guide decision making in diverse subjects, such as: environmental and risk assessments, design of remediation strategies for contaminated sites, and evaluation of the impact of ...
P. Herrera, M. A. Marazuela, T. Hofmann
semanticscholar   +1 more source

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, Jana Dienstbier, Florentin Tischer, Simon E. Wawra, Lukas Gromotka, Johannes Walter, Frauke Liers, Wolfgang Peukert   +7 more
doaj   +1 more source

Uncertainty Analysis and Design of Air Suspension Systems for City Buses Based on Neural Network Model and True Probability Density

Machines, 2023
The accuracy of uncertainty analysis in suspension systems is closely tied to the precision of the probability distribution of sprung mass. Consequently, traditional assumptions regarding the probability distribution fail to guarantee the accuracy of ...
Cheng Li, Yuan Jing, Jinting Ni
doaj   +1 more source

A New Model Uncertainty Measure of Wave-Induced Motions and Loads on a Container Ship with Forward Speed

Journal of Marine Science and Engineering, 2023
A new uncertainty quantifier is presented for linear transfer functions of wave-induced ship motions and loads obtained by various seakeeping codes. The numerical simulations are conducted for the high-speed Flokstra container ship in regular waves at ...
Hossam S. Abdelwahab, Shan Wang, Josko Parunov, C. Guedes Soares   +3 more
doaj   +1 more source