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Uncertainty Modeling for Engineering Applications

of application. The contents build upon the workshop Uncertainty Modeling for Engineering Applications (UMEMA 2017), held in Torino, Italy in November;

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Biomechanics of the Musculoskeletal System

The topic of this book is the modeling of data uncertainty and knowledge for a health engineering problem such as the biomechanics of the;

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Uncertainty Modeling and Analysis in Engineering and the Sciences

of uncertainty and a reliance on expert opinions. Uncertainty Modeling and Analysis in Engineering and the Sciences prepares current and future analysts;

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Uncertainty Modeling and Analysis in Civil Engineering

of uncertainty modeling and analytical methods for civil engineering systems, presenting a toolbox for solving problems in real-world situations. Topics;

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Model Validation and Uncertainty Quantification, Volume 3

Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 35th IMAC, A Conference and Exposition on Structural;

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Model Validation and Uncertainty Quantification, Volume 3

Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics;

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Handbook of Engineering Hydrology

modeling, hydrologic modeling: stochastic processes, and time series analysis of hydrologic data Dam risk and uncertainty, drought indices for;

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Modeling Uncertainty In Earth Sciences

Modeling Uncertainty in the Earth Sciences highlights the various issues, techniques and practical modeling tools available for modeling;

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Uncertainty and Sensitivity Analysis in Archaeological Computational Modeling

to the modeling process is critical, as are strategies for minimizing, reconciling, or accommodating such uncertainty. Included chapters;

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Uncertainty Quantification

fundamental mathematical tools of probability and statistics that are directly useful for uncertainty quantification. It proceeds with a well carried;

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Uncertainty Modeling In Knowledge Engineering And Decision Making - Proceedings Of The 10th International Flins Conference

FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence;

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The Science and Management of Uncertainty

development. This book provides a rigorous scientific framework for dealing with uncertainty in real-world situations, and provides a comprehensive;

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The Science and Management of Uncertainty

development. This book provides a rigorous scientific framework for dealing with uncertainty in real-world situations, and provides a comprehensive;

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Reliability and Safety Engineering

uncertainty, so the book includes uncertainty propagation methods: Monte Carlo simulation, fuzzy arithmetic, Dempster-Shafer theory and probability;

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Decision Making Under Uncertainty

captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty;

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Uncertainty Modeling for Data Mining

Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise;

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Computational Intelligence in Business and Economics

research in business and economics with an orientation to modern techniques for dealing with uncertainty such as those related with modeling and;

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Uncertainty Quantification in Multiscale Materials Modeling

Uncertainty Quantification in Multiscale Materials Modeling provides a complete overview of uncertainty quantification (UQ;

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Risk Modeling for Determining Value and Decision Making

Risk or uncertainty assessments are used as aids to decision making in nearly every aspect of business, education, and government. As a;

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Risk Modeling for Determining Value and Decision Making

Risk or uncertainty assessments are used as aids to decision making in nearly every aspect of business, education, and government. As a;

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Modeling and Simulation Support for System of Systems Engineering Applications

...a much-needed handbook with contributions from well-chosen practitioners. A primary accomplishment is to provide guidance for those;

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Design and Optimization of Thermal Systems, Third Edition with MATLAB Applications Mechanical Engineering

design of thermal systems, which are of interest in a wide range of applications. It presents basic concepts and procedures for conceptual design;

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Mathematical Optimization and Modeling

mathematical optimization have been included in this text which will provide useful insights to the readers. Mathematical theory of uncertainty;

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Modeling and Computation in Engineering II

Modeling and Computation in Engineering II (CMCE 2013, Hong Kong, 22-23 June 2013) includes 50 contr;...

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Modeling and Simulation Based Analysis in Reliability Engineering

providing a reference for applications of mathematics in engineering, offering a theoretical sound background with adequate case studies, and will;

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Modeling and Simulation Based Analysis in Reliability Engineering

transnational scale Modeling and Simulation Based Analysis in Reliability Engineering aims at providing a reference for applications of mathematics;

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Modeling and Computation in Engineering III

conference serves as a major forum for researchers, engineers and manufacturers to share recent advances, discuss problems, and identify challenges;

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