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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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Sensitivity Analysis In Earth Observatio

Sensitivity Analysis in Earth Observation Modeling highlights the state-of-the-art in ongoing research investigations and new;

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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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Earth Surface Modeling

an apt resource for students pursuing graduation and post-graduation in earth sciences and allied disciplines.;

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Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling

) of the AFM (French Society of Mechanical Sciences), the Scientific Committee on Stochastic Modeling and Uncertainty Quantification of the ABCM;

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Climate System Modeling

with any aspect of climatology and the study of related topics in the broad earth and environmental sciences.;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information;

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The Science and Management of Uncertainty

Uncertainty can take many forms, can be represented in many ways, and can have important implications in decision-making and policy;

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The Science and Management of Uncertainty

Uncertainty can take many forms, can be represented in many ways, and can have important implications in decision-making and policy;

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Spatial Modeling in GIS and R for Earth and Environmental Sciences

Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS;

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Engineering Applications of Neural Networks

-engineering applications of ANN; bioinformatics; intelligent medical modeling; life-earth sciences intelligent modeling; learning-algorithms;

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Models and Modeling

An Introduction to Models and Modeling in the Earth and Environmental Sciences offers students and professionals the opportunity to learn;

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Geoinformatics

Advanced information technology infrastructure is increasingly being employed in the Earth sciences to provide researchers with efficient;

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Uncertainty and Sensitivity Analysis in Archaeological Computational Modeling

This volume deals with the pressing issue of uncertainty in archaeological modeling. Detecting where and when uncertainty is introduced;

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Spatial Data Quality

As research in the geosciences and social sciences becomes increasingly dependent on computers, applications such as geographical;

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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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Uncertainty Modeling and Analysis in Civil Engineering

financial climate requires engineers to formally consider the factors of uncertainty (e.g., floods, earthquakes, winds, environmental risks;

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Computational Science ICCS 2021

: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications;

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Practical Finite Element Modeling in Earth Science using Matlab

through time and space. The finite element method (FEM) is a remarkably flexible and powerful tool with enormous potential in the Earth Sciences;

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Surrogates

uncertainty quantification, sensitivity analysis, calibration of computer models to field data, sequential design/active learning and (blackbox;

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Surrogates

modeling. Applications to uncertainty quantification, sensitivity analysis, calibration of computer models to field data, sequential design/active;

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High Accuracy Surface Modeling Method

the sensitivity and uncertainty is important in model applications. The book aims to advance an integral framework for assessing model error;

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High Accuracy Surface Modeling Method

the sensitivity and uncertainty is important in model applications. The book aims to advance an integral framework for assessing model error;

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Continuum Mechanics In The Earth Sciences

for professional scientists seeking a better understanding of the mathematics and physics within Earth sciences.;

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Fossils in Earth Sciences

Fossils in Earth Sciences;

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Optimal Operation of Integrated Multi-Energy Systems Under Uncertainty

Optimal Operation of Integrated Multi-Energy Systems Under Uncertainty discusses core concepts, advanced modeling and key operation;

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