204 zoekresultaten voor “parameter estimation” in de Publieke website
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Estimation and Optimization of the Performance of Polyhedral Process Networks
Promotor: Prof.dr.ir. E. Deprettere
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Improving robustness of tomographic reconstruction methods
Promotor: Prof.dr. K.J. Batenburg
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Optimally weighted ensembles of surrogate models for sequential parameter optimization
It is a common technique in global optimization with expensive black-box functions to learn a surrogate-model of the response function from past evaluations and use it to decide on the location of future evaluations.
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Robust Estimation using Aggregated Data for Urban policy making (READ-URBAN)
Read-Urban was een eerste project om te onderzoeken of beleidsaanbevelingen gedaan kunnen worden met behulp van linked dataverzamelingen en data science en om ervaring op te doen met de succesfactoren voor een dergelijk proces.
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Bayes and Networks
Promotor: A.W. van der Vaart
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Marike Knoef benoemd in prestigieuze Commissie Parameters
Minister Koolmees van Sociale Zaken en Werkgelegenheid heeft Marike Knoef benoemd in de Commissie Parameters, onder voorzitterschap van oud-minister van Financiën Jeroen Dijsselbloem.
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How to scale clearance from adults to children for drugs undergoing hepatic metabolism?
The aim of this thesis is to expedite and ensure the systematic accuracy of clearance scaling from adults to paediatric patients, with a special focus on drugs undergoing hepatic metabolism.
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Quantum local asymptotic normality and other questions of quantum statistics
Promotor: R. Gill, Co-promotor: P. Massart
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Applications of topology to Weyl semimetals and quantum computing
This thesis covers various applications of topology in condensed matter physics and quantum information.
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Matching, entropy, holes and expansions
In this dissertation, matching, entropy, holes and expansions come together. The first chapter is an introduction to ergodic theory and dynamical systems.
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Empirical Bayes applications in biomedical high-dimensional prediction
The thesis introduces three methods for high-dimensional prediction problems in the biomedical field. The methods make use of empirical and variational Bayes in the estimation.
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Geert-Jan Kroes
Wiskunde en Natuurwetenschappen
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GLOBOX
GLOBOX is a spatially differentiated multimedia fate, exposure and effect model. It is used for the calculation of spatially differentiated LCA characterisation factors on a global scale.
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Weighing the Dark: Cosmological Applications of Gravitational Lensing
Promotor: K. Kuijken, Co-Promotor: H. Hoekstra
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Stellar radio beacons for Galactic astrometry
A century ago, it was unclear whether the stars in the sky were clustered in groups, or widely spread in the universe.
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Time is of the essence: investigating kinetic interactions between drug, endogenous neuropeptides and receptor
Promotor: A.P. IJzerman Co-promotor: L.H. Heitman
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Pair configurations to molecular activity coefficients: PAC-MAC
This thesis provides an overview of the development of the Pair Configuration to Molecular Activity Coefficient (PAC-MAC) model.
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Supercritical carbon dioxide spray drying for the production of stable dried protein formulations
Promotor: W. Jiskoot, Co-promotor: H.A. Every
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Arianna Pranger
Arianna Pranger is Assistant professor Master Farmacie Onderwijs & ziekenhuisapotheker.
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A recipe for desert: analysis of an extended Klausmeier model
Promotores: Arjen Doelman, Jens Rademacher, Max Rietkerk
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Satellite remote sensing of plant functional diversity
Biodiversity enables ecosystems to thrive through the synergy of functional differences among organisms. While human well-being strongly depends on biodiversity-driven ecosystem services, human actions are also at the root of current unprecedented biodiversity declines.
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Advanced MRI in aortic pathology and systemic interactions
Promotie
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High-throughput simulation studies of angiogenesis - Reverse engineering the role of tip cells and pericytes in vascular development
Promotor: Prof.dr. R.M.H. Merks
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Prof.dr. Aad van der Vaart benoemd tot hoogleraar Stochastiek
Prof.dr. Aad van der Vaart wordt per 1 september bij de Faculteit Wiskunde en Natuurwetenschappen benoemd als hoogleraar Stochastiek. Hij wordt aangesteld bij het Mathematisch Instituut.
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Small changes for long term impact: optimization of structure kinetic properties: a case of CCR2 antagonists
Promotor: Prof.dr. A. P. IJzerman, Co-Promotor: L.H. Heitman
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Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box ProblemsBagheri, S.
Optimization tasks in practice have multifaceted challenges as they are often black box, subject to multiple equality and inequality constraints and expensive to evaluate.
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Electroreduction of nitrate and carbon dioxide on copper electrodes: a mechanistic study
In this thesis we have discussed several parameters that affect the electrochemical conversion of enviromentaly harmful molecules such as nitrates and carbon dioxide to more valuable and less deleterious compounds, in order to cast light onto the mechanism of the reaction to achieve an efficient and…
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Data Driven Modeling & Optimization of Industrial Processes
Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.
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De interpretatie van wearable gegevens over lichaamsbeweging en de relatie met metabolisme en hersengezondheid bij oudere volwassenen
Het kwantificeren van lichamelijke activiteit (met behulp van versnellingsmeters) en het combineren van de frequentie en intensiteit van activiteiten met gezondheidsgegevens (hersen-MRI, traditionele klinische parameters en metabolomics) is van het grootste belang om mobiliteit en gezondheid bij oudere…
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Galaxy alignments from multiple angles
Galaxies form and live inside dark matter haloes. As a consequence, they are exposed to the tidal fields generated by the surrounding matter distribution: this imprints a preferential direction to the galaxy shapes, which leads to a coherent alignment on physically close galaxies, called intrinsic a…
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The colours of the extreme universe
This thesis presents pioneering work on the panchromatic emission of some of the most luminous galaxies in the early Universe: star forming galaxies and active galactic nuclei.
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Adaptive Streaming Applications: Analysis and Implementation Models
Promotor: Prof.dr. E. Deprettere
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Sparsity-Based Algorithms for Inverse Problems
Inverse problems are problems where we want to estimate the values of certain parameters of a system given observations of the system. Such problems occur in several areas of science and engineering. Inverse problems are often ill-posed, which means that the observations of the system do not uniquely…
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Exiopol
A new environmental accounting framework using externality data and input-output tools for policy analysis.
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Lines in the sand: behaviour of self-organised vegetation patterns in dryland ecosystems
Vast, often populated, areas in dryland ecosystems face the dangers of desertification.
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Distributions
Statistical distributions in LCA and converting between different representations of these distributions.
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Improved Strategies for Distance Based Clustering of Objects on Subsets of Attributes in High-Dimensional Data
This monograph focuses on clustering of objects in high-dimensional data, given the restriction that the objects do not cluster on all the attributes, not even on a single subset of attributes, but often on different subsets of attributes in the data.
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Probing new physics in the laboratory and in space
The Standard Model (SM) of particle physics fails to explain several observed phenomena and is incomplete. In order to resolve this problem, one may extend the SM by adding new particles.
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The galaxy–dark matter connection: a KiDS study
In this thesis, the research focuses on the properties of dark matter and dark matter haloes and how they connect with the galaxies we can observe in the Universe.
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Electrocatalytic CO2 reduction toward liquid fuels : on heterogeneous electrocatalysts and heterogenized molecular catalysts
With the energy transition toward a renewable energy supply and a CO2-neutral economy, electrification of the energy system is rising in importance, which leads to the challenge of long-term storage of renewable electricity.
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Neuropsychiatric symptoms and immune system parameters in Huntington's Disease
Promotie
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Optimally weighted ensembles of surrogate models for sequential parameter optimization
Promotie
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Development of highly accurate density functionals for H2 dissociation on transition metals
Metals surfaces form a group of effective catalysts for the reaction of small molecules such as hydrogen (H2).
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Causal Discovery from High-Dimensional Data in the Large-Sample Limit
Developing robust algorithms and theory for establishing cause-effect relationships from observational data that scale up to large data sets
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Abiotic depletion in LCIA
Possible improvements for the assessment of abiotic depletion in LCA.
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Mechanistic modelling of drug target binding kinetics as determinant of the time course of drug action in vivo
Drug-target binding kinetics determine the time course of the central event in pharmacotherapy: Drug-target interaction.
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Towards improved drug action : target binding kinetics and functional efficacy at the mGlu2 receptor
During the course of drug discovery translational steps are made.
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Catalysis of the electrochemical water oxidation to oxygen
Promotor: Prof.dr. M.T.M. Koper, Co-Promotor: F. Calle-Vallejo
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Synergy Study: Sentinel2 –Sentinel3 Land Products
To deliver a Virtual Sensor tool optimised to exploit the synergy between Sentinels 2 and 3 to allow the consistent retrieval of land surface parameters (Albedo, LAI, and LST); To extend the existing capabilities of land EO data assimilation tools to add capacity to handle data in the thermal domain…
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Effects of glufosinate-ammonium on off crop vegetation
Description of Effects of glufosinate-ammonium on off crop vegetation.