2,387 zoekresultaten voor “digital and audiovisuele methods” in de Publieke website
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Waarom Leiden?
Culturele Antropologie en Ontwikkelingssociologie in Leiden biedt een unieke, studentgerichte benadering binnen een internationaal erkende faculteit. Ons programma onderscheidt zich door de balans tussen theoretische verdieping en praktijkervaring.
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Adriaan van der Weel over E-READ in Frankfurter Allgemeine Zeitung
Onderzoekers van meer dan 30 landen namen deel in het Europese onderzoeksnetwerk E-READ om de veranderingen in het lezen door digitalisering te bestuderen. Adriaan van der Weel, universitair hoofddocent, sprak over het succes van het netwerk met de Duitse krant Frankfurter Allgemeine Zeitung.
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Digital Infrastructure Insights Fund (D//F) voor John Boy voor onderzoek naar free en open source software
John Boy en zijn collega's van het d12n-onderzoekscluster krijgen een beurs van het Digital Infrastructure Insights Fund D//F.
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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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Lipid signaling and inflammation: metabolomics for better diagnosis and treatment strategy
Lipid signaling is an essential biological event/process in a plethora of pathophysiological conditions. The underlying idea of this thesis is that many of the roles and the complex interplay of the individual signaling lipids in inflammatory processes and related conditions in health and disease is…
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Optimization of quantum algorithms for near-term quantum computers
This thesis covers several aspects of quantum algorithms for near-term quantum computers and its applications to quantum chemistry and material science.
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Assessing global regionalized impacts of eutrophication on freshwater fish biodiversity
Freshwater biodiversity has been threatened by eutrophication due to excessive nutrients in the environment. Releasing the freshwater species from such pressures requires efforts from industry and manufacturers to avoid emissions to vulnerable and high-risk regions.
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Aspects of the analysis of cell imagery: from shape to understanding
In this thesis, we have studied cell images from two types of cells, including pollen grains and the immune cells, neutrophils. These images are captured using a bright field microscope and a confocal microscope.
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Babak Rezaeedaryakenari
Teaching the Future: AI-Enhanced Education for Student Engagement and Ethical Learning.
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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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Scalability and uncertainty of Gaussian processes
The main theme of this thesis is the theoretical study of Gaussian processes as a tool in Bayesian nonparametric statistics.
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CML-IA Characterisation Factors
CML-IA is a database that contains characterisation factors for life cycle impact assessment (LCIA) and is easily read by the CMLCA software program.
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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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Liselore TissenFaculteit der Geesteswetenschappen
l.n.m.tissen@hum.leidenuniv.nl | 071 5272727
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Ruben RosFaculteit der Geesteswetenschappen
r.s.ros@hum.leidenuniv.nl | 071 5271646
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Adriaan van der Weel over de toekomst van het lezen in de digitale tijd
We leven in een tijd van steeds snellere en diepere digitalisering. Digitale technologieën bieden enorme kansen voor het genereren, gebruiken, opslaan en overbrengen van informatie. Tegelijkertijd komen een aantal beproefde leesmethoden onder druk te staan. Vier jaar lang heeft een groep wetenschappers,…
- ELS Methods Café
- ELS Methods Café
- ELS Methods Café
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Theory of mind in language, minds, and machines: a multidisciplinary approach
Humans can see the world through the eyes of other humans and imagine what they know, want, and intend. This competence is known as Theory of Mind.
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Summer School 'The European Union, the United Nations and Global Governance'
Cursus, Summer School
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GEANNULEERD: Digital Twin Engineering
Lezing
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Verba Africana
The project
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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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Real-time tomographic reconstruction
With tomography it is possible to reconstruct the interior of an object without destroying.
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Interstellar Catalysts and the PAH universe
Organic molecules in interstellar space are important as they influence the structure of galaxies and star formations. Studying catalytic processes in space allows us to understand how molecular species are formed and chemically evolved in the interstellar medium and solar system objects.
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Quantitative live cell imaging of glucocorticoid receptor dynamics in the nucleus
In this thesis, the focus lies on studying glucocorticoid receptor dynamics in living cells with the aim of understanding how this transcription factor finds its DNA target sites to regulate transcription.
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Phylogeny and species delimitation within the moss genus Dicranum Hedw.
Promotor: Prof.dr. E. Smets, M. Stech
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High-throughput profiling of small molecules using mass spectrometry
Promotor: Prof.dr. T. Hankemeier
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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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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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Synthesis of Ribitol Phosphate based Wall Teichoic acids
Antibiotic resistance, caused by widespread use of antibiotics, leads to bacterial infections that are difficult, if not impossible, to treat and is a major worldwide health concern.
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Giant unilamellar vesicles: An efficient membrane biophysical tool and its application in drug delivery studies
Promotor: A. Kros
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Enhanced coinduction
Promotores: Prof.dr. F.S. de Boer, Prof.dr. J.J.M.M. Rutten (Radboud Universiteit Nijmegen)
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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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The rebound effect through industrial ecology’s eyes : the case of transport eco-innovation
Promotor: Prof. dr. Arnold Tukker & Prof. dr. René Kemp (Maastricht University)
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Colloidal mechanical metamaterials
This thesis describes how to scale down concepts of macroscopic mechanical metamaterials to the thermal scale using a system of flexibly-linked colloids.
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When data compression and statistics disagree: two frequentist challenges for the minimum description length principle
Promotor: P.D. Grünwald
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Big simulations for big problems
In this thesis we investigate cosmology and the large scale structure of the Universe using cosmological simulations.
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Pattern mining for label ranking
Promotor: J.N. Kok, Co-promotor: C.M. Soares, A.J. Knobbe
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Development of personalized health monitoring using ultra-weak photon emission based on systems medicine concepts
Promotor: Jan van der Greef; Co-promotors: Mei Wang; Eduard van Wijk
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Analytical chemistry and biochemistry of glycosphingolipids: new developments and insights
Advanced mass spectrometry of glycosphingolipids takes the central stage in this thesis. Investigations focus on characterization of glycosphingolipid metabolism in health and disease with emphasis to the detection and accurate quantitation of known and so far unknown glycosphingolipids and closely…
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Software developments in automated structure solution and crystallographic studies of the Sso10a2 and human C1 inhibitor protein
Promotor: Prof.dr. J.P. Abrahams, Co-Promotor: N.S. Pannu
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Stock-driven Scenarios on Global Material Demand
The role of material production as a driver of environmental impacts is increasing, which calls for a better understanding of global material flows. This thesis explores the role of in-use stocks of products, buildings and infrastructure as a key driver of global material demand and discusses the implications…
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Atomic Insights into Hydrodesulfurization
Hydrodesulfurization (HDS) is an ubiquitous part of oil refining that ensures that fuels are cleaned of impurities and environment release of pollutants such as SOx and NOx gasses are minimized.
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Luttinger liquid on a lattice
Understanding interactions in quantum many-body systems remains one of the most profound and difficult challenges in condensed matter physics.
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Principal algebraic actions of the discrete Heisenberg group
Promotor: Prof.dr. W.T.F. den Hollander
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How to scale clearance from adults to children for drugs undergoing hepatic metabolism?
The aim of this thesis is to expedite and ensure the systematic accuracy of clearance scaling from adults to paediatric patients, with a special focus on drugs undergoing hepatic metabolism.
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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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Applying data mining in telecommunications
This thesis applies data mining in commercial settings in the telecommunications industry.