587 zoekresultaten voor “numerical methods” in de Publieke website
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On the 16-rank of class groups of quadratic number fields
Promotores: P. Stevenhagen, E. Fouvry (Univeriste Paris Saclay)
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Shining Light on Interstellar Matter
Promotor: H.V.J. Linnartz
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The SpeakTeach method
Promotie
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Quantification in untargeted mass spectrometry-based metabolomics
Promotor: T. Hankemeier, Co-promotor: T.H. Reijmers
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Automated de novo metabolite identification with mass spectrometry and cheminformatics
Promotor: T. Hankemeier, Co-Promotores: T. Reijmers, L. Coulier
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Bayesian learning: challenges, limitations and pragmatics
This dissertation is about Bayesian learning from data. How can humans and computers learn from data?
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Computational electrocatalysis
This dissertation focused on computational methods based on first principles calculations using the Density Functional Theory (DFT) framework. Emphasis was laid on affordable methods that can provide a tradeoff between computational expense and accuracy.
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Potential interference of fungal endophytes in Vanilla planifolia on vanilla flavor compounds biosynthesis
Natural vanilla flavor is one of the most important in the world. However, the cost of this flavor is expensive. Production of this flavor by alternative methods, could reduce the cost.
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Novel Protecting Group Strategies in the Synthesis of Oligosaccharides
The thesis focuses on synthesis strategies in oligosaccharide campaigns, and the influence of protecting groups.
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Activity-based proteomics of the endocannabinoid system
This thesis describes the use of an activity-based proteomics method to study the endocannabinoid system.
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LC-Impact
How can we develop and further improve life cycle impact assessment methods, characterisation factors and normalisation factors?
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Mining Sensor Data from Complex Systems
Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe
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Guiding evolutionary search towards innovative solutions
Promotors: Prof.dr. T.H.W. Bäck, Prof.dr. B. Sendhoff (Technische Universität Darmstadt)
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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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NMR structural studies of protein-small molecule interactions
Promotor: Prof.dr. M. Ubbink, Co-promotor: G. Siegal
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Expansions of quantum group invariants
In my research, we developed a method to distinguish knots. A knot is a mathematical depiction of the everyday knot that occurs in ropes and cords.
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Discovering the preference hypervolume: an interactive model for real world computational co-creativity
In this thesis it is posed that the central object of preference discovery is a co-creative process in which the Other can be represented by a machine. It explores efficient methods to enhance introverted intuition using extraverted intuition's communication lines.
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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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Searching by Learning: Exploring Artificial General Intelligence on Small Board Games by Deep Reinforcement Learning
In deep reinforcement learning, searching and learning techniques are two important components. They can be used independently and in combination to deal with different problems in AI, and have achieved impressive results in game playing and robotics. These results have inspired research into artificial…
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Knots in plasma
A plasma is an ionized gas with very low electrical resistivity. As such, magnetic field lines are 'frozen in' and move with the fluid. Magnetic field lines that are linked, knotted and tangled, cannot be undone by the fluid motions.
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On electronic signatures of topological superconductivity
Promotor: Prof.dr. C.W.J. Beenakker
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Non-equilibrium chemistry and cooling in simulations of galaxy formation
Promotor: J. Schaye
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Quantum dot microcavity control of photon statistics
During my PhD research, I studied the photon statistics of light emitted by a microcavity that contains a single quantum dot (QD) on resonance.
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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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Geometry of Vegetation Pattern
One of the effects of climate change is the phenomenon of desertification, a process that occurs in semi-arid and arid areas and causes land degradation as well as vegetation loss. Due to the lack of resources, vegetation self-organizes to sustain itself by forming large-scale spatial patterns.
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Single-electrolyte isotachophoresis: on-chip analyte focusing and separation
Promotor: Thomas Hankemeier, Co-promotores: Heiko van der Linden, Paul Vulto
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Engagement of citizens and public professionals in the co-production of public services
The idea of citizens and public professionals collaborating to provide public services has widely spread in several countries around the globe. Co-production is often presented as the go-to solution for challenges like a legitimacy crisis of both the government and the market, and financial concerns.…
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The integration of meta-analysis and classification & regression trees: meta-CART
In meta-analysis, heterogeneity often exists between studies. In such cases, it is essential to investigate the sources of heterogeneity and understand the relationship between effect size and study characteristics (i.e., moderators).
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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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Origami metamaterials : design, symmetries, and combinatorics
In the first part of this thesis we study the geometry of folding patterns.
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Better Predictions when Models are Wrong or Underspecified
Promotor: P.D. Grünwald
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Predicting the future: Predictive control for astronomical adaptive optics
The field of exoplanet research is rapidly advancing through the development of new technology, observing techniques, and post-processing methods.
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Algorithms for the description of molecular sequences
Promotor: J.N. Kok, P.E. Slagboom Co-promotor: J.F.J. Laros
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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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Metabolomic characteristics of Catharanthus roseus plants in time and space
Promotor: R. Verpoorte, Co-promotores: Y.H.Choi, N.R. Mustafa
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Exploring Deep Learning for Intelligent Image Retrieval
This thesis mainly focuses on cross-modal retrieval and single-modal image retrieval via deep learning methods, i.e. by using deep convolutional neural networks.
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Error bounds for discrete tomography
Promotores: K.J. Batenburg, B. Koren
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Replacing the needle and syringe for vaccine administration
Promotores: Prof.dr. G.F.A Kersten, Prof dr. J.A. Bouwstra
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Liposomes as delivery system for allergen-specific immunotherapy
In this book liposomes are explored as delivery system for allergen-specific immunotherapy. Both cationic and anionic formulations are prepared with Bet v 1, one of the allergens in birch pollen.
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Open Lecture Iconoscape: Method, Madness, and Montage
In de media
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Master Track Public Administration: Economics and Governance
Courses in English.
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Advances in Computational Methods for QFT Calculations
Promotie
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Nonparametric Bayesian Methods in Robotic Vision
Promotie
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Filter-based reconstruction methods for tomography
Promotie
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On metrics and models for multiplex networks
In this thesis, we extend the concept of null models as canonical ensembles of multi-graphs with given constraints and present new metrics able to characterize real-world layered systems based on their correlation patterns.
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Deepening the uncertainty dimension of environmental Life Cycle Assessment: addressing choice, future and interpretation uncertainties.
LCA has become an important method to study environmental impacts of human activities. Still, there are several methodological issues in LCA that can adversely affect the results reliability.
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Novel analytical approaches to characterize particles in biopharmaceuticals
Particles are omnipresent in biopharmaceutical products. In protein-based therapeutics such particles are generally associated with impurities, either derived from the drug product itself (e.g. protein aggregates), or from extrinsic contaminations (e.g. cellulose fibers).
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Data Science
Het verzamelen en interpreteren van grote hoeveelheden data is niet meer weg te denken uit de maatschappij en de wetenschap. De Universiteit Leiden is een kennis- en expertisecentrum van data science dat de nadruk legt op interdisciplinaire samenwerking en innovatie.
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Efficient and Automatic Tomographic Reconstruction Algorithms
In this thesis we present several methods to automate tomographic reconstruction algorithms and several novel tomographic reconstruction algorithms with the focus on being easily applicable and efficient to use.
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Phylogeny and species delimitation within the moss genus Dicranum Hedw.
Promotor: Prof.dr. E. Smets, M. Stech