Searched for: author%3A%22Xiao%2C+C.%22
(1 - 7 of 7)
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Fang, L. (author), Jin, J. (author), Segers, A. (author), Lin, H.X. (author), Pang, M. (author), Xiao, C. (author), Deng, T. (author), Liao, H. (author)
With the explosive growth of atmospheric data, machine learning models have achieved great success in air pollution forecasting because of their higher computational efficiency than the traditional chemical transport models. However, in previous studies, new prediction algorithms have only been tested at stations or in a small region; a large...
article 2022
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Xiao, C. (author), Lin, H.-X. (author), Leeuwenburgh, O. (author), Heemink, A. (author)
History matching can play a key role in improving geological characterization and reducing the uncertainty of reservoir model predictions. Application of reservoir history matching is restricted by the huge computational cost by amongst others the many runs of the full model. Surrogate models with a reduced complexity are therefore used to...
article 2022
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Xiao, C. (author), Leeuwenburgh, O. (author), Lin, H.X. (author), Heemink, A.W. (author)
article 2021
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Xiao, C. (author), Leeuwenburgh, O. (author), Lin, H.X. (author), Heemink, A. (author)
A reduced order modeling algorithm for the estimation of space varying parameter patterns in numerical models is proposed. In this approach domain decomposition is applied to construct separate approximations to the numerical model in every subdomain. We introduce a new local parameterization that decouples the computational cost of the...
article 2021
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Xiao, C. (author), Heemink, A. (author), Lin, H. (author), Leeuwenburgh, O. (author)
Seismic history matching can play a key role in geological characterization and uncertainty quantification. However, challenges related to intensive computational demands and complexity restricts its application in many practical cases. This paper presents a conceptual deep-learning-based framework fully deployed in the popular Pytorch...
conference paper 2020
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Xiao, C. (author), Leeuwenburgh, O. (author), Lin, H.X. (author), Heemink, A. (author)
article 2019
document
van Wietmarschen, H. (author), Yuan, K. (author), Lu, C. (author), Gao, P. (author), Wang, J. (author), Xiao, C. (author), Yan, X. (author), Wang, M. (author), Schro├źn, J. (author), Lu, A. (author), Xu, G. (author), van der Greef, J. (author), TNO Kwaliteit van Leven (author)
BACKGROUND: Complex chronic diseases such as rheumatoid arthritis have become a major challenge in medicine and for the pharmaceutical industry. New impulses for drug development are needed. OBJECTIVE: A systems biology approach is explored to find subtypes of rheumatoid arthritis patients enabling a development towards more personalized...
article 2009
Searched for: author%3A%22Xiao%2C+C.%22
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