605 zoekresultaten voor “putten detection” in de Publieke website
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Learning Approaches for Multivariate Time Series Prediction and Anomaly Detection
Promotie
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Cor Veenman
Wiskunde en Natuurwetenschappen
c.j.veenman@liacs.leidenuniv.nl | +31 71 527 5772
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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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Postdoc: Algorithmic developments to automatically detect RiPP structural features
Wiskunde en Natuurwetenschappen, Instituut Biologie Leiden (IBL)
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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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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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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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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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Putting Dental Calculus Under the Microscope
Promotie
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Woord van dank en colofon
Rembrandtroute ter gelegenheid van het 444-jarig bestaan van de Universiteit Leiden en het Rembrandtjaar 2019. Met speciale dank aan Germanisches Nationalmuseum (Neurenberg), The Leiden Collection (New York), Museum De Lakenhal (Leiden), Mauritshuis (Den Haag), Rijksmuseum/Musée du Louvre (Amsterdam/Parijs),…
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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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From molecules to monitoring: Integrating genetic tools into freshwater quality assessments
Freshwater is an important resource, but at a great risk of species decline due to habitat loss, pollution and over-exploitation, and invasive alien species.
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Young suns and infant planets: Probing the origins of solar systems
Even though more than 4000 extra-solar planets are known today, only a small fraction of these has been captured in an image. To better understand the planet formation mechanisms in solar-like environments we started the Young Suns Exoplanet Survey (YSES).
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Quantumnetwerken en quantumsensing
Binnen Quantum Leiden doen verschillende groepen onderzoek naar quantumnetwerken en quantumsensing.
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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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Exploring the chemical space of post-translationally modified peptides in Streptomyces with machine learning
The ongoing increase in antimicrobial resistance combined with the low discovery of novel antibiotics is a serious threat to our health care.
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Learning from small samples
Learning from small data sets in machine learning is a crucial challenge, especially when dealing with data imbalances and anomaly detection. This thesis delves into the challenges and methodologies of learning from small datasets in machine learning, with a particular focus on addressing data imbalances…
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Probing the properties of dark matter particles with astrophysical observations
It is an established fact that the Standard Model has to be extended to explain the so-called Beyond the Standard Model (BSM) phenomena: dark matter, matter-antimatter asymmetry of the Universe and neutrino flavour oscillations.
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spFRET studies of nucleosome dynamics modulated by histone modifications, histone variants and neighboring nucleosomes
Promotor: Prof.dr. T. Schmidt, Co-Promotor: S.J.T. van Noort
- Robots & Religie
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Publicaties door Erfgoed Gezocht
Lees hier de publicaties die over het Erfgoed Gezocht project zijn verschenen.
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EU Erasmus+ Curriculum Development in Data Science and Artificial Intelligence
LIACS is a partner in the EU Erasmus+ Curriculum Development for the Asian education system. The knowledge available in the field of Data Science and Artificial Intelligence education will be shared and adapted for the Asian market.
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Dubbeloratie: de invloed van sociale context op hersenprocessen
Twee hoogleraren die op dezelfde dag hun oratie uitspreken, dat is een zeldzaamheid aan de Universiteit Leiden. Berna Güroğlu en Ellen de Bruijn zijn gespecialiseerd in aanverwante vakgebieden: beiden onderzoeken de invloed van sociale context op hersenprocessen. Güroğlu doet dat bij adolescenten, De…
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Faculteit der Geesteswetenschappen
De Faculteit der Geesteswetenschappen richt zich in onderzoek en onderwijs op verschillende wetenschapsdisciplines en op de mobiliteit van mensen, taal, cultuur, ideeën, kunst en instellingen in een globaliserende wereld in hun onderlinge samenhang door de eeuwen heen. Dit vormt ook de basis voor de…
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Basis reduction for layered lattices
Promotor: H.W. Lenstra
- DNA isoleren uit fruit