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Testing Alternative Ground Water Models Using Cross-Validation and Other Methods

Related publications (66)

A Bayesian Approach for Pervasive Estimation of Breaststroke Velocity Using a Wearable IMU

Kamiar Aminian, Grégoire Millet, Farzin Dadashi

An ubiquitous assessment of swimming velocity (main metric of the performance) is essential for the coach to provide a tailored feedback to the trainee. We present a probabilistic framework for the data-driven estimation of the swimming velocity at every c ...

Elsevier Science Bv2015

Model selection for partial least squares calibration and implications for analysis of atmospheric organic aerosol samples with mid-infrared spectroscopy

Satoshi Takahama

In developing partial least squares calibration models, selecting the number of latent variables used for their construction to minimize both model bias and model variance remains a challenge. Several metrics exist for incorporating these trade-offs, but t ...

Wiley-Blackwell2015

Automatic and computationally efficient method for model selection in inertial sensor calibration

Jan Skaloud, Stéphane Guerrier

The identification and selection of a small set of models that are able to well describe and predict the error signals coming from IMU sensors is of utmost importance to improve the navigation precision of these devices. For this reason, in this paper we p ...

2015

Finite element modeling of the WC-10 wt.% Co thermal stresses: Build-up and phase specific strain response during cyclic loading

Daniele Mari, Emiliano Campitelli

Several finite element models of the morphology of WC-10 wt.% Co were employed to reproduce the build-up of thermal residual stresses as well as the phase specific strain during loading-unloading in compression. The different models differ only in their ge ...

Elsevier Sci Ltd2015

Cholera in the Lake Kivu region (DRC): Integrating remote sensing and spatially explicit epidemiological modeling

Andrea Rinaldo, Enrico Bertuzzo, Lorenzo Mari, Flavio Finger, Allyn Christine Knox, Marino Gatto

Mathematical models of cholera dynamics can not only help in identifying environmental drivers and processes that influence disease transmission, but may also represent valuable tools for the prediction of the epidemiological patterns in time and space as ...

American Geophysical Union2014

Pattern-oriented memory interpolation of sparse historical rainfall records

Anton Schleiss, José Pedro Gamito de Saldanha Calado Matos, Théodora Cohen Liechti

The pattern-oriented memory (POM) is a novel historical rainfall interpolation method that explicitly takes into account the time dimension in order to interpolate areal rainfall maps. The method is based on the idea that rainfall patterns exist and can be ...

Elsevier2014

Incremental model identification of gas-liquid reaction systems

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Identification of kinetic models is an important task for monitoring, control and optimization of industrial processes. Kinetic models are often based on first principles, which describe the evolution of the states – numbers of moles, temperature and volum ...

2013

Incremental Model Identification using the Concept of Extents

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Kinetic models contribute greatly to cost reduction during the process development phase and are also helpful for process monitoring and control purposes. Kinetic models describe the underlying reactions, mass transport and operating conditions of the reac ...

2013

Incremental Model Identification of Fluid-Fluid Reaction Systems – Dynamic Accumulation and Reactions in the Diffusion Layer

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

The identification of kinetic models is an important step for the monitoring, control and optimization of industrial processes. This is particularly the case for highly competitive business sectors such as chemical and pharmaceutical industries, where the ...

2013

An algorithm for automatic inertial sensor calibration

Jan Skaloud, Stéphane Guerrier

We present an algorithm for determining the nature of stochastic processes together with its parameters based on the analysis of time series of inertial errors. The algorithm is suitable mainly (but not only) for situations when several stochastic processe ...

2013

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