2,224 zoekresultaten voor “complex network” in de Publieke website
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Opinion Dynamics on Random Graphs
This thesis investigates opinion dynamics on random graphs through the lens of the voter model, a classical interacting particle system used to describe how consensus emerges in networks.
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Flow: A study of electron transport through networks of interconnected nanoparticles
This thesis describes a study from both a theoreticaL and an experimental point of view.
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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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NETWORKS-consortium krijgt COFUND-beurs van Europese Commissie
Het Zwaartekracht-programma NETWORKS heeft een COFUND-beurs gekregen van 3 miljoen. De helft daarvan komt vanuit het programma Marie Skłodowska-Curie Actions van de Europese Commissie, partners uit het bedrijfsleven betalen de andere helft. Van de 14 nieuwe promovendi komen er twee bij de Leidse onderzoeksgroep…
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1,2-cis-glycosylations: method development and synthesis of complex oligosaccharides
Promotor: G.A. van der Marel, Co-promotor: D.C. Codée
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Alberto CeriaFaculteit der Sociale Wetenschappen
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The structure of the cytochrome P450cam-putidaredoxin complex determined by paramagnetic NMR spectroscopy and crystallography
Promotor: Prof.dr. M. Ubbink
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Integrative omics analyses of sarcomas with complex genomes: from molecular characterization to therapeutic strategies
Promotie
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Semi-partitioned Scheduling and Task Migration in Dataflow Networks
Promotor: Ed F. Deprettere, Co-promotor: Todor P. Stefanov
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EnSMiRT: European Network for Sustainable Mining Research and Transfer
EnSMiRT wil de expertise binnen de alliantie Una Europa benutten en de samenwerking tussen toonaangevende onderzoekers die in verschillende stadia van de minerale waardeketen werken, stimuleren om deze dringende uitdagingen rechtstreeks aan te pakken.
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Wireless Random-Access Networks and Spectra of Random Graph
This thesis is divided into two parts. In Part I we study metastability properties of queue-based random-access protocols for wireless networks. The network is modeledas a bipartite graph whose edges represent interference constraints. In Part II we study spectra of inhomogeneous Erdős-Rényi random…
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LABDA (Learning Network for Advanced Behavioural Data Analysis)
Onderzoeken hoe gegevens afkomstig van draagbare technologieën kunnen worden gebruikt om effectieve gedragsveranderingen te identificeren die hopelijk zullen leiden tot gezondheidsverbeteringen.
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The formation of complex organic molecules in dense clouds-Sweet results from laboratory
Large areas of space are filled by molecular clouds that consist of gas and dust grains that are the remnants of dead stars. When these clouds start collapsing, the decreasing temperature and increasing density cause gas particles to start accreting onto dust grain surfaces.
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Towards a Structural Understanding of Plant─Microbiota Interactions using cryo-EM Techniques
The endophytic microbiota is a community of various microorganisms that reside in plant tissue. These microbes are known to promote plant health and resilience, and their members do not simply exist side by side.
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Functional characterization and unraveling the Gene Regulatory Networks (GRNs) of HD-Zip transcription factor HB40 (and HB22) in Arabidopsis
In this Ph.D. thesis, we characterized two novel upstream regulators of JUB1, HB40, and HB22, in Arabidopsis thaliana. In Chapter 2, we described functions of HB40 in modulating growth and development via the regulation of JUB1 and GA inactivation genes GA2OXs.
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Resolving a bioindicator diatom species complex using genomic approaches for freshwater biomonitoring
This thesis pioneers diatom molecular identification and quantification through genome-scale methods, with four key aims: (i) reviewing DNA/RNA sequencing methods in aquatic biomonitoring to highlight their strengths and limitations;
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Beyond random and forbidden interactions : how optimizing energy gain results in morphological matching among subalpine Asteraceae and their
Plants and their pollinators form complex interaction networks. Within these networks, species differ widely in the number of species they interact with.
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Identification and characterization of developmental genes in streptomyces
Promotor: Prof.dr. G.P. van Wezel
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Gamal Adel ElgamalFaculteit der Wiskunde en Natuurwetenschappen
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Events
Het LIACS organiseert verschillende lezingenseries, zoals het LCN2 Seminars en de SAILS Lunch Time-seminars.
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Exploring the chemical space of natural products from Streptomyces using multi-omics approaches
The increasing resistance of pathogenic bacteria to antibiotics necessitates the discovery of new medicines.
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Signalling pathways that control development and antibiotic production in streptomyces
Bacteria are highly complex and diverse organisms that have adapted to survive in ecological niches ranging from the most extreme to the most heterogeneous environments.
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Biomimetic redox reactions of the Cu(II) μ-thiolate complex
Promotor: Prof.dr. E. Bouwman
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Grip krijgen op complexiteit. Onderwijs voor het 'moeras'
Hoe kun je leerlingen en studenten leren grip te krijgen op complexe ‘moerassituaties’? Oratie uitgesproken door prof.dr.ir. Fred Janssen bij de aanvaarding van het ambt van hoogleraar in de Didactiek van de Natuurwetenschappen aan de Universiteit Leiden op 19 juni 2017.
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Blowup in the complex Ginzburg-Landau equation
Promotor: Prof.dr. A. Doelman, Co-promotor: V. Rottschäfer
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Deciphering the complex paramagnetic NMR spectra of small laccase
Multicopper oxidase, laccase, can efficiently reduce oxygen to water and are mostly used in the enzymatic biofuel cells.
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Statistical learning for complex data to enable precision medicine strategies
Explaining treatment response variability between and within patients can support treatment and dosing optimization, to improve treatment of individual patients.
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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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Samenwerking
De Faculteit der Wiskunde en Natuurwetenschappen streeft naar impact van haar onderzoek en onderwijs op de samenleving. Daarvoor werkt de faculteit in binnen- en buitenland samen met andere universiteiten en instituten, maatschappelijke partners, het bedrijfsleven én met het brede publiek.
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Algorithms for analyzing and mining real-world graphs
Promotor: Prof.dr. J.N. Kok, Co-Promotor: W.A. Kosters
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Systems pharmacology of the amyloid cascade
According to the amyloid cascade hypothesis, accumulation of beta-amyloid (Aβ) peptides initiates the pathological cascade in Alzheimer's disease (AD).
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Pollinators in complex landscapes Modelling and mapping the distribution of wild bees and hoverflies in the Netherlands
This thesis explores how bees and hoverflies are distributed across the Dutch landscape and how ecological and landscape factors shape their occurrence.
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Microcredentials
Microcredentials maakt onderwijs voor u als professional nóg toegankelijker. Volgt u een module van 3 tot 30 EC (studiepunten), dan ontvangt u na afronding van het onderwijs een microcredential. Dit digitale certificaat wordt erkend door 22 hogescholen en 12 universiteiten.
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Call for Papers - Networks of Manuscripts, Networks of Texts (Amsterdam, deadline: 30 April 2020)
This two-day international conference organised by the 'Innovating Knowledge' Project aims to bring together researchers applying network analysis to premodern manuscripts and manuscript texts.
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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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Information Diffusion Analysis in Online Social Networks based on Deep Representation Learning
With the emergence of online social networks (OSNs), the way people create and share information has changed, which becomes faster and broader than traditional social media.
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Moved by the tears of others: emotion networking in the heritage sphere
There is no heritage without emotional sharing and clashing. This article explores the involvement of divergent emotions in heritage making by discussing the debate series of Imagine IC and the Reinwardt Academy and zooming in on the commemoration of slavery and imagery of ‘Black Pete’ in the Netherlands.…
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Untangling the adolescent internalizing brain - Investigations on brain networks in youth with anxious and depressive problems
Promotie
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Digital warfare in the Sahel: popular networks of war and Cultural Violence
Deze studie kijkt naar netwerken van mensen die betrokken zijn bij conflicten, zowel binnen landen als over de grenzen heen. Het gebruikt verschillende onderzoeksmethoden om te begrijpen hoe deze netwerken werken, vooral in de Sahel (in Afrika) en andere gebieden.
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Algorithms for Analyzing Evolving Networks on the Dark Web & in Science
Promotie
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Solving the Gravitational N-body Problem with Machine Learning
In this work, I explore the creation of new methods that optimize simulations of the gravitational N-body problem. Specifically, I take advantage of the recent popularity of Machine Learning methods to find tools that can suit this problem.
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Leiden University Buddhist Studies Network opgericht
Sinds kort bestaat het Leiden University Buddhist Studies Network, opgericht bij het LIAS, het Leiden University Institute for Area Studies.
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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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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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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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LGBT+ Network: een platform voor gelijkgestemden
De Universiteit Leiden is een platform rijker. Vicerector Hester Bijl gaf op 19 september het officiële startschot voor de oprichting van het LGBT+ Network.
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Population size fails to explain the evolution of complex culture
The logic seems inescapable indeed. The bigger the population, the higher the probability it contains an Einstein. Hence, bigger populations are more likely to develop complex culture.
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Ella HasFaculteit der Wiskunde en Natuurwetenschappen
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Parallel Worlds
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Exploring novel regulators and enzymes in salicylic acid-mediated plant defense
Salicylic acid (SA) is a plant hormone, which is involved in the defense responses to pathogens and to abiotic stress, and in the regulation of plant growth and development.