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Masfara, La ODE Marzujriban (author), Weemstra, C. (author)
The Hamiltonian Monte Carlo algorithm is known to be highly efficient when sampling high-dimensional model spaces due to Hamilton's equations guiding the sampling process. For weakly non-linear problems, linearizing the forward problem enhances this efficiency. This study integrates this linearization with geological prior knowledge for...
journal article 2024
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Koers, G.J. (author)
Imagine you need to navigate through a completely dark cave. A well-known way of achieving this is echolocation, which works by making sounds and listening to how they are reflected back. The problem of determining the geometric shape of a space from a mixture of reflections of emitted sounds, is an example of an inverse problem. In many fields...
doctoral thesis 2023
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Kool, J.J. (author), Kanning, W. (author), Jonkman, Sebastiaan N. (author)
This study introduces a method for assessing the annual failure rate of levees based on information from historical floods, while also considering the return period of these past events. Also, an approach has been developed to quantify the influence of deviating conditions on failure rates. The presence of deviating conditions at failed and...
journal article 2022
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Guvenir Torun, Su (author), Torun, Hakki M. (author), Hansen, Hendrik H.G. (author), de Korte, Chris L. (author), van der Steen, Antonius F.W. (author), Gijsen, F.J.H. (author), Akyildiz, A.C. (author)
Objective: Plaque rupture in atherosclerotic carotid arteries is a main cause of ischemic stroke and it is correlated with high plaque stresses. Hence, analyzing stress patterns is essential for plaque specific rupture risk assessment. However, the critical information of the multicomponent material properties of atherosclerotic carotid...
journal article 2022
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Liu, S. Y. (author), Lin, S. (author), Wang, Y. B. (author), De Schutter, B.H.K. (author), Lam, W. H.K. (author)
In order to better understand the stochastic dynamic features of signalized traffic networks, we propose a Markov traffic model to simulate the dynamics of traffic link flow density for signalized urban traffic networks with demand uncertainty. In this model, we have four different state modes for the link according to different congestion...
journal article 2021
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Janizadeh, Saeid (author), Vafakhah, Mehdi (author), Kapelan, Z. (author), Dinan, Naghmeh Mobarghaee (author)
Identifying areas prone to flooding is a key step in flood risk management. The purpose of this study is to develop and present a novel flood susceptibility model based on Bayesian Additive Regression Tree (BART) methodology. The predictive performance of the new model is assessed via comparison with the Naïve Bayes (NB) and Random Forest (RF...
journal article 2021
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Mohammadi, Majid (author)
The primary motivation of this dissertation is to investigate how to enable interoperability in the logistics domain by the aid of ontology alignment. More in detail, the primary research objective of this dissertation is To address interoperability between heterogeneous IT systems in logistics by using ontology alignment. To accomplish the...
doctoral thesis 2020
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Sutmuller, A.D. (author), Den Hengst, Marielle (author), Barros, Ana Isabel (author), Van der Vecht, Bob (author), Noordkamp, Wouter (author), van Gelder, P.H.A.J.M. (author)
In this paper two Bayesian approaches and a frequency approach are compared on predicting offender output variables based on the input of crime scene and victim variables. The K2 algorithm, Naïve Bayes and frequency approach were trained to make the correct prediction using a database of 233 solved Dutch single offender/single victim homicide...
conference paper 2019
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Brownjohn, James (author), Raby, Alison (author), Au, Siu Kui (author), Zhu, Zuo (author), Wang, Xinrui (author), Antonini, A. (author)
A set of seven rock lighthouses around the British Isles was studied by a combination of forced and ambient vibration tests executed with some extreme logistical constraints. Forced vibration testing of the circular section masonry towers combined with experimental modal analysis identified modes with alignment assumed the same as the shaker...
conference paper 2019
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Mohammadi, Majid (author)
Ontology alignment systems are evaluated by various performance scores, which are usually computed by a ratio related directly to the frequency of the true positives. However, such ratios provide little information regarding the uncertainty of the overall performance of the corresponding systems. The comparison is also drawn merely by the...
journal article 2019
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Agarwal, Girish (author), Allen, Roland E. (author), Bezděková, Iva (author), Boyd, Robert W. (author), Chen, Goong (author), Hanson, R. (author), Hawthorne, Dean L. (author), Hemmer, Philip (author), Kim, Moochan B. (author), Kocharovskaya, Olga (author), Lee, D. (author), Lidström, Sebastian K. (author), Lidström, Suzy (author), Losert, Harald (author), Maier, Helmut (author), Neuberger, John W. (author), Padgett, Miles J. (author), Raizen, Mark (author), Rajendran, Surjeet (author), Rasel, Ernst (author), Schleich, Wolfgang P. (author), Scully, Marlan O. (author), Shchedrin, Gavriil (author), Shvets, Gennady (author), Sokolov, Alexei (author), Svidzinsky, Anatoly (author), Walsworth, Ronald L. (author), Weiss, Rainer (author), Wilczek, Frank (author), Willner, Alan E. (author), Yablonovich, Eli (author), Zheludev, Nikolay (author)
The Winter Colloquium on the Physics of Quantum Electronics (PQE) has been a seminal force in quantum optics and related areas since 1971. It is rather mind-boggling to recognize how the concepts presented at these conferences have transformed scientific understanding and human society. In January 2017, the participants of PQE were asked to...
journal article 2018
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van Erp, H.R.N. (author)
We present here a Bayesian framework of risk perception. This framework encompasses plausibility judgments, decision making, and question asking. Plausibility judgments are modeled by way of Bayesian probability theory, decision making is modeled by way of a Bayesian decision theory, and relevancy judgments are modeled by way of a Bayesian...
doctoral thesis 2017
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van Erp, H.R.N. (author), Linger, R.O. (author), van Gelder, P.H.A.J.M. (author)
It is a relatively well-known fact that in problems of Bayesian model selection, improper priors should, in general, be avoided. In this paper we will derive and discuss a collection of four proper uniform priors which lie on an ascending scale of informativeness. It will turn out that these priors lead us to evidences that are closely...
journal article 2017
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van Erp, H.R.N. (author), Linger, R.O. (author), van Gelder, P.H.A.J.M. (author)
In this paper, we will give the derivation of an inquiry calculus, or, equivalently, a Bayesian information theory. From simple ordering follow lattices, or, equivalently, algebras. Lattices admit a quantification, or, equivalently, algebras may be extended to calculi. The general rules of quantification are the sum and chain rules. Probability...
journal article 2017
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Ching, J. (author), Wu, S.-H (author), Phoon, K.-K. (author)
Due to limited information in site investigation, it is not possible to obtain the actual values for the mean, standard deviation, and scale of fluctuation of a soil property of interest. The deviation between the estimated values and actual values is called the statistical uncertainty. There are two schools of thoughts on how to model the...
conference paper 2015
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Baecher, G.B. (author), Christian, J.T. (author)
The statistics course most engineers took in college—seldom more than one—introduced them to a particular species of statistics, which, regrettably, is of limited use in geotechnical practice: frequentist sampling theory. That species of statistical thinking arose to address problems of agricultural experimentation, biology, and economics. It is...
conference paper 2015
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Jansen, J.D. (author)
This note describes the theory behind a simple Matlab program to generate ensembles of geological realizations of relatively small-scale reservoir models (permeability fields) for subsurface flow simulation. The algorithm makes use of Principal Component Analysis (PCA) to parameterize the spatial covariance of a reference image, and a Bayesian...
report 2013
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Rajabalinejad, M. (author)
This paper presents a generic method for the safety assessments of models with partial monotonicity. For this purpose, a Bayesian interpolation method is developed and implemented in the Monte Carlo process. integrated approach is the generalization of the recently developed techniques used in safety assessment of monotonic models and it...
conference paper 2012
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van der Burg, D.W. (author)
To estimate rock and pore-fluid properties of oil and gas reservoirs in the subsurface, techniques can be used that invert seismic data. Hereby, the detailed information about the reservoir that is available at well locations, such as the thickness and porosity of individual layers, is extrapolated to all locations in the reservoir on the basis...
doctoral thesis 2007
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