688 zoekresultaten voor “some problems” in de Publieke website
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Taxonomy, systematics, and biogeography of Ficus subsection Urostigma (Moraceae)
Promotor: Prof.dr. P.C. van Welzen
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Generalized Strictly Periodic Scheduling Analysis, Resource Optimization, and Implementation of Adaptive Streaming Applications
This thesis focuses on addressing four research problems in designing embedded streaming systems.
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Corporate venture management in SMEs: evidence from the German IT consulting industry
Promotor: Prof.dr. B.R. Katzy, Prof.dr. H.J. van den Herik, Prof.dr. G.H. Baltes (University of Applied Sciences Konstanz)
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Images of Galois representations
Promotores: S.J. Edixhoven, P.Parent
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Chaotic dynamics in N-body systems
Promotor: Prof.dr. S.F. Portegies Zwart
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Improving robustness of tomographic reconstruction methods
Promotor: Prof.dr. K.J. Batenburg
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Filter-based reconstruction methods for tomography
Promotor: K.J. Batenburg
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Spectral imaging and tomographic reconstruction methods for industrial applications
Radiography is an important technique to inspect objects, with applications in airports and hospitals. X-ray imaging is also essential in industry, for instance in food safety checks for the presence of foreign objects.
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Zihao Yuan
Wiskunde en Natuurwetenschappen
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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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Development of life cycle assessment for residue-based bioenergy
Wat zijn de belangrijkste thema's in het uitvoeren van systemen voor bio-energie ?
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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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On the optimization of imaging pipelines
In this thesis, topics relating to the optimization of high-throughput pipelines used for imaging are discussed. In particular, different levels of implementation, i.e., conceptual, software, and hardware, are discussed and the thesis outlines how advances on each level need to be made to make gains…
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Optimal decision-making under constraints and uncertainty
We present an extensive study of methods for exactly solving stochastic constraint (optimisation) problems (SCPs) in network analysis. These problems are prevalent in science, governance and industry.
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Principles of Environmental Sciences
Principles of Environmental Sciences provides a comprehensive picture of the principles, concepts and methods that are applicable to problems originating from the interaction between the living and non-living environment and mankind. Both the analysis of such problems and the way solutions to environmental…
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Visual Relation extraction Based on Deep Cross-media Transfer Network
Building a Deep Cross-media Transfer Network to extract visual relations that relieve the problem of insufficient training data for visual tasks.
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Applications of quantum annealing in combinatorial optimization
Quantum annealing belongs to a family of quantum optimization algorithms designed to solve combinatorial optimization problems using programmable quantum hardware. In this thesis, various methods are developed and tested to understand how to formulate combinatorial optimization problems for quantum…
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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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Multi-dimensional feature and data mining
In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.
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Principal algebraic actions of the discrete Heisenberg group
Promotor: Prof.dr. W.T.F. den Hollander
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Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
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Learning-based Representations of High-dimensional CAE Models for Automotive Design Optimization
In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…
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Resource allocation in networks via coalitional games
Promotor: F. Arbab, R. De Nicola, Co-Promotor: M. Tribastone
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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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Current challenges in statistical DNA evidence evaluation
Promotor: R.D. Gill, F. Taroni
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Deciphering fermionic matter: from holography to field theory
Promotor: K.E. Schalm, Co-promotor: S.S. Lee
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Over het LHSC
Als kennisinstellingen, gemeente, burgers en andere partijen of organisaties elkaar onvoldoende weten te vinden, komt kennis niet voldoende ten goede aan de samenleving. Het Leiden Healthy Society Center heeft de ambitie om kennis, beleid en praktijk duurzaam met elkaar te verbinden. Zo willen we onderwijs…
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Fuzzy systems and unsupervised computing: exploration of applications in biology
In this thesis we will explore the use of fuzzy systems theory for applications in bioinformatics.
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Network flow algorithms for discrete tomography
Promotor: R. Tijdeman, Co-promotor: H.J.J. te Riele
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Computational speedups and learning separations in quantum machine learning
This thesis investigates the contribution of quantum computers to machine learning, a field called Quantum Machine Learning. Quantum Machine Learning promises innovative perspectives and methods for solving complex problems in machine learning, leveraging the unique capabilities of quantum computers…
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Musems, Collections and Society | Yearbook 2021
In this Yearbook you will find some fascinating examples of what was done in 2021, not only by ourselves, but also by our international colleagues.
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Counting points on K3 surfaces and other arithmetic-geometric objects
This PhD thesis concerns the topic of arithmetic geometry. We address three different questions and each of the questions in some way is about counting how big some set is or can be.
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Sparsity-Based Algorithms for Inverse Problems
Promotie
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Discrete tomography for integer-valued functions
Promotor: S.J. Edixhoven, Co-promotor: K.J. Batenburg
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Travelling patterns on Discrete Media
This thesis describes how complex and real-world relevant analytical solutions can be found starting from a simple Nagumo problem posed on one or two-dimensional lattices.
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System-level design for efficient execution of CNNs at the edge
A convolutional neural network (CNN) is a biologically inspired algorithm, highly capable at processing images and videos.
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Biological model representation and analysis
Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek
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Unveiling dark structures with accurate weak lensing
Improvements of weak gravitational lensing shape measurements are presented and some used for data analysis.
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Systemic Accountability of the European Border and Coast Guard
Op 11 november 2021 verdedigde Mariana Gkliati het proefschrift 'Systemic Accountability of the European Border and Coast Guard'. Het promotieonderzoek is begeleid door promotoren prof.dr. P. Rodrigues en prof.dr. L. Besselink (UvA).
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An Online Corpus of UML design models: Construction and empirical studies
Promotores: J. Kok, M. Chaudron (Chalmers University)
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Strategies for Mechanical Metamaterial Design
On a structural level, the properties featured by a majority of mechanical metamaterials can be ascribed to the finite number of soft internal degrees-of freedom allowing for low-energy deformations.
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On the Galois closure of commutative algebras
Promotores: H.W. Lenstra, B. Erez, Co-promotor: L. Taelman
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Metals in LCIA
A critical look at the impact assessment modelling of metals in Life Cycle Impact Assessment and improvement options.
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A fixed point approach towards stability of delay differential equations with applications to neural networks
Promotor: S.M. Verduyn Lunel, Co-Promotor: O.W. van Gaans
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New Polymyxin Antibiotics for Old Problems
Promotie
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On Products of Linear Error Correcting Codes
In this thesis we study products of linear error correcting codes.
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Towards a greater understanding of the presence, fate and ecological effects of microplastics in the freshwater environment
This thesis combines field and laboratory studies to address some of the most pressing questions in the field of microplastic research.
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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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Evaluation of Different Design Space Description Methods for Analysing Combustion Engine Operation Limits
Promotor: Prof.dr. T.H.W. Bäck
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Exploration on and of Networks
This dissertation consists of two parts, with the common theme