528 zoekresultaten voor “step problems” in de Publieke website
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Brave Steps
Een stapsgewijze aanpak voor het opbouwen van zelfvertrouwen bij jonge kinderen die angstig zijn.
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Steps in gas-surface reactions
Heterogeneous catalysis is essential to many industrial applications. These catalysts are often comprised of supported nanoparticles, which contain various different surface sites.
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Meta-heuristics for vehicle routing and inventory routing problems
Promotores: T.H.W. Bäck, Y. Tan, Co-promotor: M.T.M. Emmerich
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Counting problems for number rings
Promotor: H.W. Lenstra
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Inverse problems for universal deformation rings of group representations
Promotor: Prof.dr. P. Stevenhagen
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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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Understanding the complexity of intelligence problems
The complexity of an intelligence problem determines to a great extent the certainty that can be provided by intelligence and security services.
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Learning Problems and Impairments (international track) (MSc)
Deze masterspecialisatie leert je veelvoorkomende leerproblemen herkennen en behandelen.
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Solving multiplication and division problems
Latent variable modeling of students' solution strategies and performance
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The CM class number one problem for curves
Promotores: P. Stevenhagen, A. Enge Co-Promotor: T.C. Streng
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Opportunity and Problem in Context (OPiC). A framework for environmental management in developing countries
Promotor: W.T. de Groot
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Executive deficits, behavioural problems and early reading development
This study tests whether behavioural problems at a young age are related to early reading and mathematics development.
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Tailored care for children at high risk for problem behaviour
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Geometric approach to evolution problems in metric spaces
Promotor: S.M. Verduyn Lunel, Co-promotor: O.W. van Gaans
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Direct and two-step activity-based profiling of proteases and glycosidases
Promotores: Prof.dr. H.S. Overkleeft, Prof.dr. G.A. van der Marel
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New polymyxin antibiotics for old problems: addressing nephrotoxicity and resistance
Polymyxins are clinically used antibiotics, discovered in mid-20th century. Once abandoned due to excessive nephrotoxicity, they are now used increasingly to address infections caused by multi-drug resistant Gram-negative bacteria.In this thesis, we describe the development and synthesis of analogues…
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Learning class-imbalanced problems from the perspective of data intrinsic characteristics
The class-imbalance problem is a challenging classification task and is frequently encountered in real-world applications. Various techniques have been developed to improve the imbalanced classification performance theoretically and practically.
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Development of a academic monitoring system for students with learning problems in secondary school
Students with learning problems experience difficulties in reading, writing, and content-area learning into and throughout their secondary-school years
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Multi-Objective Bayesian Global Optimization for Continuous Problems and Applications
A common method to solve expensive function evaluation problem is using Bayesian Global Optimization, instead of Evolutionary Algorithms.
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Model-assisted robust optimization for continuous black-box problems
Uncertainty and noise are frequently-encountered obstacles in real-world applications of numerical optimization. The practice of optimization that deals with uncertainties and noise is commonly referred to as robust optimization.
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efficacy of digitized storybooks for young learners with attention problems
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Risk bounds for deep learning
In this thesis, deep learning is studied from a statistical perspective. Convergence rates for the worst case risk bounds of neural network estimators are obtained in the classification, density estimation and linear regression model.
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dynamics: Understanding collaborative governance approaches to ‘big’ problems through studying ‘small’ practices
In dit artikel heeft Lianne Visser bijgedragen aan het begrip rondom samenwerkend bestuur als uitdagende aanpak voor hardnekkige problemen.
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Smoothly breaking unitarity : studying spontaneous collapse using two entangled, tuneable, coherent amplifiers
The Copenhagen interpretation of quantum mechanics states that a measurement collapses a wavefunction onto an eigenstate of the corresponding measurement operator.
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Algorithms for finite rings
Promotores: H.W. Lenstra, K. Belabas (University of Bordeaux)
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Filter-based reconstruction methods for tomography
Promotor: K.J. Batenburg
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Substances from Cradle to Grave
Materials balances have been used in the recent past for the analysis of substance oriented environmental problems and the formulation of measures for environmental policy. In this study an integrated tool, based on the materials balance principle, has been developed for the analysis of both environmental…
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Het identificeren en integreren van interdisciplinaire leerdoelen en methoden voor complexe wereldproblemen.
Wat zijn de beste werkwijzen om studenten te leren omgaan met complexe problemen?
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Distributions
Statistical distributions in LCA and converting between different representations of these distributions.
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Automated machine learning for dynamic energy management using time-series data
Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…
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FGGA Honours vak 'Wicked Problems Lab' van start
Vandaag, 6 februari, is het nieuwe vak het Wicked Problems Lab (voluit: Wicked Problems Lab: working with governance, leadership and social innovation) van start gegaan. Dit nieuwe vak voor derdejaars Honours studenten is onderdeel van de Honours Track “Tackling Global Challenges” aangeboden door de…
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Statistical modelling of time-varying covariates for survival data
This dissertation focuses on developing new mathematical and statistical methods to properly represent time-varying covariates and model them within the context of time-to-event analysis.
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Structured Parallel Programming for Monte Carlo Tree Search
The thesis is part of a bigger project, the HEPGAME (High Energy Physics Game). The main objective for HEPGAME is the utilization of AI solutions, particularly by using MCTS for simplification of HEP calculations.
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Surface-structure dependence of water-related adsorbates on platinum
Promotor: M.T.M. Koper, Co-promotor: J.B.F. Juurlink
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Bayesian Inference for Gaussian Models
This dissertation studies the Asymptotics of Bayesian nonparametric inference for Gaussian linear models.
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Development of an in vitro vascular network using zebrafish embryonic cells
One of the major limitations in culturing complex tissues or organs is the lack of vascularization in the cultured tissue. Development of a functional capillary bed could overcome this problem.
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Structure dependence of molecular reactions on surfaces
The research presented in this thesis makes use of small molecules (as H2 , D2 and O2 ) on well-defined single crystal surfaces (flat Pt(111), flat Cu(211) and curved Pt(111)) to elucidate the role of surface structure and degrees of freedom in the reactant in specific surface reactions.
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Gerard Breeman
Faculteit Governance and Global Affairs
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Going global to local: achieving agri-food sustainability from a spatially explicit input-output analysis perspective
The global agri-food system plays a critical role in food security and environmental issues.
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Nina Eggens
Faculteit Rechtsgeleerdheid
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Estimation and Optimization of the Performance of Polyhedral Process Networks
Promotor: Prof.dr.ir. E. Deprettere
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Nonparametric Bayesian Methods in Robotic Vision
In this dissertation non-parametric Bayesian methods are used in the application of robotic vision.
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Next generation bacitracin: reimagining a classic antibiotic
Given the accelerating appearance of antimicrobial resistance, there is an urgent need for more fundamental research into novel antibiotic strategies. The work in this thesis helps to address this global problem by developing new antibiotic compounds, inspired by the antibacterial mechanisms of the…
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Magnetism and magnetization dynamics in thin film ferromagnets
Promotores: Prof.dr. J. Aarts, Prof.dr. J.M. van Ruitenbeek
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Quantitative uncertainty in LCI
Overall dispersion in LCA as result of inherent uncertainties, spread and unrepresentativeness.
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The parabolic Anderson model on Galton-Watson trees
The parabolic Anderson model (PAM), which is the Cauchy problem for the heat equation with random potential. The PAM is a mathematical model that describes how mass (i.e. matter or energy) flows in a medium in the presence of a field of sources and sinks.
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Error bounds for discrete tomography
Promotores: K.J. Batenburg, B. Koren
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Algebraic filters for filtered backprojection
Promotor: K.J. Batenburg, Co-promotor: A.W. van der Vaart, B. de Smit
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On hard real-time scheduling of cyclo-static dataflow and its application in system-level design
Promoter: Ed F. Deprettere, Co-promoter: Todor P. Stefanov
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