417 zoekresultaten voor “sleep problems” in de Publieke website
-
Sleep and learning in children
-
-
Meta-heuristics for vehicle routing and inventory routing problems
Promotores: T.H.W. Bäck, Y. Tan, Co-promotor: M.T.M. Emmerich
-
Counting problems for number rings
Promotor: H.W. Lenstra
-
Inverse problems for universal deformation rings of group representations
Promotor: Prof.dr. P. Stevenhagen
-
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…
-
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.
-
Learning Problems and Impairments (international track) (MSc)
Deze masterspecialisatie leert je veelvoorkomende leerproblemen herkennen en behandelen.
-
Solving multiplication and division problems
Latent variable modeling of students' solution strategies and performance
-
The CM class number one problem for curves
Promotores: P. Stevenhagen, A. Enge Co-Promotor: T.C. Streng
-
Opportunity and Problem in Context (OPiC). A framework for environmental management in developing countries
Promotor: W.T. de Groot
-
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.
-
Tailored care for children at high risk for problem behaviour
-
-
Geometric approach to evolution problems in metric spaces
Promotor: S.M. Verduyn Lunel, Co-promotor: O.W. van Gaans
-
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…
-
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.
-
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
-
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.
-
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.
-
efficacy of digitized storybooks for young learners with attention problems
-
-
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.
-
Leiden Institute of Chemistry sleept vier NWO ECHO subsidies binnen
Naast de 2 TOP grants heeft het LIC ook nog 4 ECHO’s binnengehaald voor dr. Francesco Buda, professor Gijs van der Marel met Jeroen Codée, dr. Dmitri Filippov en professor Gilles van Wezel.
-
Bayesian Inference for Gaussian Models
This dissertation studies the Asymptotics of Bayesian nonparametric inference for Gaussian linear models.
-
Unraveling temporal processes using probabilistic graphical models
Real-life processes are characterized by dynamics involving time. Examples are walking, sleeping, disease progress in medical treatment, and events in a workflow.
-
Gerard Breeman
Faculteit Governance and Global Affairs
g.e.breeman@fgga.leidenuniv.nl | +31 70 800 9373
-
Nina Eggens
Faculteit Rechtsgeleerdheid
n.eggens@law.leidenuniv.nl | +31 71 527 2727
-
Error bounds for discrete tomography
Promotores: K.J. Batenburg, B. Koren
-
Algebraic filters for filtered backprojection
Promotor: K.J. Batenburg, Co-promotor: A.W. van der Vaart, B. de Smit
-
Studente sleept NWO-beurs binnen voor onderzoek naar ‘verjongings-gen’
Masterstudente Thalia Luden ontvangt een NWO-beurs voor haar onderzoeksvoorstel naar een gen dat bloeiende planten opnieuw in een groeifase brengt. Ook bedrijven in de sierteelt en groentezaadveredeling dragen bij aan het onderzoek.
-
Blowup in the complex Ginzburg-Landau equation
Promotor: Prof.dr. A. Doelman, Co-promotor: V. Rottschäfer
-
Voorlichtingsactiviteiten
Kom naar onze online en oncampus events om ons beter te leren kennen!
-
Images of Galois representations
Promotores: S.J. Edixhoven, P.Parent
-
Chaotic dynamics in N-body systems
Promotor: Prof.dr. S.F. Portegies Zwart
-
Improving robustness of tomographic reconstruction methods
Promotor: Prof.dr. K.J. Batenburg
-
Filter-based reconstruction methods for tomography
Promotor: K.J. Batenburg
-
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.
-
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.
-
Zihao Yuan
Wiskunde en Natuurwetenschappen
z.yuan@cml.leidenuniv.nl | +31 71 527 2727
-
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.
-
Algorithms for finite rings
Promotores: H.W. Lenstra, K. Belabas (University of Bordeaux)
-
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.
-
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…
-
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.
-
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…
-
Flows of six heavy metals
Can we provide the Dutch government with an integrative framework, wherein the various policies can be placed and the need for further measures can be identified?
-
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…
-
Applying data mining in telecommunications
This thesis applies data mining in commercial settings in the telecommunications industry.
-
Many objective optimization and complex network analysis
This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.
-
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.
-
Principal algebraic actions of the discrete Heisenberg group
Promotor: Prof.dr. W.T.F. den Hollander
-
Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.