298 zoekresultaten voor “pattern detection” in de Publieke website
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Diffuse, warm-hot extragalactic gas: predicting properties and detection with the EAGLE simulations
Promotie
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Molecular sensors for calcium ion detection via triplet-triplet annihilation upconversion
Promotie
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Molecular imaging of pancreatic and rectal cancer - Towards optimized detection and response prediction
Promotie
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LiDAR
LiDAR is een relatief nieuwe meettechniek waarmee het Actueel Hoogtebestand Nederland het hele land zeer nauwkeurig mee heeft ingemeten. Het grote voordeel van deze manier van meten is dat vegetatie geen belemmering vormt. Hierdoor kunnen ook gebieden waar vegetatie de zichtbaarheid van de ondergrond…
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Advances in SQUID-detected Magnetic Resonance Force Microscopy
In this thesis, we describe the latest advances in SQUID-detected Magnetic Resonance Force Microscopy (MRFM).
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When galaxy clusters collide: the impact of merger shocks on cluster gas and galaxy evolution
Promotor: Prof.dr. H.J.A. Rottgering
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On transport properties of Majorana fermions in superconductors: free & interacting
Majorana fermions in superconductors are the subgap quasiparticle excitations that are their own antiparticles.
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High-throughput profiling of small molecules using mass spectrometry
Promotor: Prof.dr. T. Hankemeier
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Deep learning for visual understanding
With the dramatic growth of the image data on the web, there is an increasing demand of the algorithms capable of understanding the visual information automatically.
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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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Machine learning for radio galaxy morphology analysis
We explored how to morphologically classify well-resolved jetted radio-loud active galactic nuclei (RLAGN) in the LOw Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) using machine learning.
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Sizing up protoplanetary disks
This thesis focuses on protoplanetary disks: flattened structures of gas and dust around young stars in which planets are expected to form and grow.
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Glucocerebrosidase and glycolipids: In and beyond the lysosome
The lysosomal β-glucosidase named glucocerebrosidase (GCase) is a retaining β-glucosidase that hydrolyzes the glycosphingolipid glucosylceramide (GlcCer) to ceramide and glucose at acid pH.
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Atmospheres of hot alien Worlds
Promotor: Prof.dr. I.A.G. Snellen, C.U. Keller
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Molecular and Nano-Engineering with Iron, Ruthenium and Carbon: Hybrid structures for Sensing
Metal complexes and 2D materials like graphene were combined to produce structures that can function as sensors.
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Cavity quantum electrodynamics with quantum dots in microcavities
Promotor: Prof.dr. D. Bouwmeester
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Unconditionally secure cryptographic protocols from coding-theoretic primitives
This dissertation presents new cryptographic protocols, which can be divided into two families.
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Machine learning and computer vision for urban drainage inspections
Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.
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Bridging the gap between physics and chemistry in early stages of star formation
A dense region of a gaseous and dusty cloud collapses to form a protostar surrounded by a disk and an envelope. This thesis uses both observations and models to study physical and chemical conditions of these protostellar systems which are likely where planets start to form.
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Data Driven Modeling & Optimization of Industrial Processes
Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.
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Applications for activity-based probes in biomedical research on glycosidases
Lysosomal glycosidases are acid hydrolases that fragment glycoconjugates in lysosomes.
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Computational optimisation of optical projection tomography for 3D image analysis
Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.
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North Sea noise in the Anthropocene: an impact study of human-made impulsive sounds on free-ranging cod
Sound is everywhere in the marine environment and hearing is therefore a very important for stimuli for fish. They use sound for orientation and communication, during migration, aggregation and spawning, but also for detection of prey and predators.
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Evaluation of the zebrafish embryo as an alternative model for hepatotoxicity testing
Promotor: Prof.dr. B. van de Water, Co-promotores: L.T.M. van der Ven, A.S. Kienhuis
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Novel detectors and algorithms for electron nano-crystallography
Promotor: Prof.dr. J.P. Abrahams, Prof.dr. M. van Heel
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Error bounds for discrete tomography
Promotores: K.J. Batenburg, B. Koren
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Affinity-based profiling of the adenosine receptors
The adenosine receptors are proteins that reside in the extracellular membranes of cells. Activation of adenosine receptors plays a role in many physiological and pathological processes, such as immune responses and cancers.
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Extremely loud & incredibly far: observing radio bright AGN into the cosmic dawn
In this thesis new methodologies are developed for the detection and systematic study of radio sources in the early universe. This allows us to gain a deeper understanding of the formation and evolution of galaxies, the activity of supermassive black holes, and the final phase transition of our universe:…
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High-contrast spectroscopy of exoplanet atmospheres
More than 5,000 exoplanets have been found over the past couple of decades. These exoplanets show a tremendous diversity, ranging from scorching hot Jupiters, common super-Earths, to widely separated super-Jupiters on the planet/brown dwarf boundary.
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Staging Power: A Study of Narrative Patterns in Herodian’s History of the Roman Empire
Promotie
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From Pixels to Patterns: AI-Driven Image Analysis in Multiple Domains
Promotie
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Metagenomic sequencing in clinical virology: advances in pathogen detection and future prospects
Promotie
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Uncovering the value of autonomic signs and seizure detection in epilepsy care
Promotie
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Comparative ecology and genetics of sympatric wild cats in relation to human wildlife conflict in Bardia National Park, Nepal
What is the population size/structure and distribution of tiger and leopard inside the Bardia National Park (BNP) compared with the population outside? What is the movement and home range and conflict pattern in time and space of tigers and leopards inside the BNP compared with outside? What constitutes…
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Synthetic carbohydrate ligands for immune receptors
One of the main challenges in the development of an effective anti-cancer vaccine is the generation of an adequate and directed cellular immune response.
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EU H2020 RISE Social Media Analytics
LIACS is a partner in RISE_SMA, an interdisciplinary, international network combining excellent scholars and practitioners to enable vigorous knowledge sharing and to develop solutions for contemporary challenges for Social Media Analytics (SMA).
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Expanding the coverage of ecosystem services in life cycle assessment: an interdisciplinary venture
To contribute to the body of knowledge aiming at a better coverage of ecosystem service assessment in LCA studies, this thesis dives into the challenges of incorporating existing ecosystem service methods within the impact assessment phase of the conventional LCA framework.
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Metabolomics assisted with stable-isotope labeling: exploring neuronal metabolism related to Parkinson’s disease
The progressive loss and degeneration of dopaminergic neurons is a major pathological hallmark of Parkinson's disease (PD). The onset and progression of PD can be triggered by multiple risk factors, for instance, genetic mutation, environmental exposure, and aging.
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Impact assessment modelling of matter-less stressors in the context of Life Cycle Assessment
Promotoren: Prof.dr. G.R. de Snoo en Dr. R. Heijungs
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Distance-based analysis of dynamical systems and time series by optimal transport
Promotor: S.M. Verduyn Lunel
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Analysis and Stochastics
The research of the Applied Mathematics cluster is concerned with such diverse topics as dynamical systems, representation theory, differential equations and pattern recognition.
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Understanding the uptake and internal distribution of metallic nanoparticles in Danio rerio larvae
The aim is to discover where differently shaped metal nanoparticles distributes in Danio rerio, linking the distribution with genomic responses and so come up with a Mode of Action.
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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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Non-target effects of GM potato: an eco-metabolomics approach
Promotores: P.G.L. Klinkhamer, P.M. Brakefield, Co-Promotor: M. Bruinsma
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Comparative biology of common and grey seals along the Dutch coast : stranding, disease, rehabilitation and conservation
Promotores: H.A. Udo De Haes, P.M. Brakefield
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Digging for data: the rise and fall of a Miocene mammal biodiversity hotspot in the Vallès-Penedès (Catalonia, Spain)
The Vallesian, 11.1-9 Ma, was a special time in the Vallès-Penedes basin near Barcelona, where a biodiversity hotspot existed. Europe had a subtropical climate, with rhinos, forest giraffes, lions, hyenas, flying squirrels and primates.
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Balsaminaceae in Southeast Asia: systematics, evolution, and pollination biology
Balsaminaceae is a diverse plant family characterized by a huge floral morphological diversity.
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Geometry and Topology in Active and Driven Systems
The key characteristic of active matter is the motion of an emergent collection (such as a flock of birds), which is driven by the consumption of energy by its active components (i.e. individual birds).
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Real-time foresight: preparedness for dynamic innovation networks
Promotor: H.J. van den Herik, B.R. Katzy, Co-promotor: K. Sailer
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Methods and Tools for Mining Multivariate Time Series
Mining time series is a machine learning subfield that focuses on a particular data structure, where variables are measured over (short or long) periods of time.