956 zoekresultaten voor “multivariate analysis” in de Publieke website
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Macro-level assessment of environmental implications of changes to circularity
How to ensure the environmental and economic benefits of circularity transition at macro-scale?
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Machine Learning and Deep Learning Approaches for Multivariate Time Series Prediction and Anomaly Detection
Promotie
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The material side of the energy transition: analyzing flows and stocks of critical and other metals
The expanding population and economic activity are driving up global energy consumption. Simultaneously, there is an urgent need to transition from fossil fuels to renewable sources to mitigate the climate crisis, primarily caused by fossil fuel combustion.
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Stereoelectronic and conformational effects in oxocarbenium, iminium and iminosugar ammonium ions
Promotores: Prof.dr. G.A. van der Marel, M. van Heel
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Stereoelectronic and conformational effects in oxocarbenium, iminium and iminosugar ammonium ions
Promotor: G.A. van der Marel, Co-promotor: J.D.C. Codée
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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.
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Don't Blink: Detecting transiting exoplanets with MASCARA
This thesis describes the Multi-site All-Sky CAmeRA (MASCARA), which consists of two small robotic telescope designed to detect exoplanets around the brightest stars in the sky.
- Laboratory for Ceramics Studies
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European Union Regulation on Insolvency Proceedings: An Introductory Analysis (Vierde Editie)
Dit boek, geschreven door prof. mr. Bob Wessels (em.) en Ilya Kokorin LLM, , beschrijft en analyseert de Europese insolventieverordening (herschikt) ('EIR 2017’) die inwerking is getreden in juni 2017.
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Marc Molendijk
Faculteit der Sociale Wetenschappen
molendijkml@fsw.leidenuniv.nl | +31 71 527 6674
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Patrick Gouw
Universitaire Bibliotheken Leiden
p.gouw@library.leidenuniv.nl | +31 71 527 7749
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Yanan Liang
Wiskunde en Natuurwetenschappen
y.liang@cml.leidenuniv.nl | +31 71 527 2727
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Takuma Watari
Wiskunde en Natuurwetenschappen
t.watari@cml.leidenuniv.nl | +31 71 527 2727
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From data to models: reducing uncertainty in benefit risk assessment: application to chronic iron overload in children
Promotor: Prof.dr. M. Danhof, Co-promotor: O.E. Della Pasqua
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Computational aspects of class group actions and applications to post-quantum cryptography
Most of current public-key cryptography is considered insecure against attacks from sufficiently powerful quantum computers. Post-quantum cryptography studies methods to secure information resistant against such attacks. One proposal is isogeny-based cryptography, which bases its security on computational…
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Onderzoeksmethoden en Statistiek Universiteit Leiden
De programmagroep Onderzoeksmethoden en Statistiek heeft brede expertise op het gebied van onderzoeksmethodologie.
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Developing systems for high-throughput screening of infectious diseases using zebrafish
Promotor: Prof.dr. H.P. Spaink, Co-promotor: Prof.dr. A.H. Meijer
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Bioengineering and biophysics of viral hemorrhagic fever
Viral hemorrhagic fever (VHF) is a group of acute diseases caused by highly infectious viruses including Ebola, Lassa, Dengue viruses. Its high mortality rate poses high risk to public health, however, studies on VHF have been hampered due to the non-availability of proper models and incomplete knowledge…
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Creating Global Scenarios of Environmental Impacts with Structural Economic Models
To limit the effects of climate change, global average temperature since pre-industrial measurements are to be kept well below 2 °C preferably even at 1.5 °C.
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Environmental assessment and guidance for the future offshore wind energy development
This thesis aims to address offshore wind energy (OWE)-related environmental impacts.
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Bertram de Boer
Wiskunde en Natuurwetenschappen
b.f.de.boer@cml.leidenuniv.nl | +31 71 527 2727
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Marc van der Meide
Wiskunde en Natuurwetenschappen
m.t.van.der.meide@cml.leidenuniv.nl | +31 71 527 2727
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Baoxiao Liu
Wiskunde en Natuurwetenschappen
b.liu@cml.leidenuniv.nl | 071 5275615
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Towards circular and energy-efficient management of building stock
Material circularity and energy efficiency are highly relevant and intertwined issues for the transition towards a carbon-neutral and circular built environment. In the Netherlands, the building sector has been rendered a priority towards a circular and low-carbon society.
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Reinout Heijungs
Wiskunde en Natuurwetenschappen
heijungs@cml.leidenuniv.nl | +31 71 527 7461
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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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Pieter Kroonenberg
Faculteit der Sociale Wetenschappen
p.m.kroonenberg@fsw.leidenuniv.nl | +31 71 527 2727
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Integrated life cycle assessment and life cycle costing of concrete recycling in the Netherlands
Integrating life cycle assessment (LCA) with life cycle costing (LCC) offers the opportunity to simultaneously analyze the environmental and economic aspects of product alternatives, for the integration of which a unified computational has been proposed by Heijungs et al. (2013) [1]. The project aims…
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Measuring sustainability: an elaboration and application of the system of environmental-economic accounting for Indonesia
Indonesia is experiencing various environmental challenges related to its fast economic growth. Therefore, it is necessary to have measurable and applicable indicators to obtain accurate data and information regarding the costs of adverse environmental impacts arising from economic activities to support…
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Aquatic eDNA: Beyond Species Presence
As a non-invasive genetic method, eDNA based approaches have become an important component of ecologists' and environmental managers' toolkits for biomonitoring in conservation and an increasingly important source of ecological knowledge.
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Towards a Sustainable and Circular Metals Economy
In-use stocks of products can be considered as intermediaries between human needs and the physical world.
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MULTIPLY - MULTIscale SENTINEL land surface information retrieval Platform
Aim: To develop and enable application of a practical, flexible, user-friendly platform to provide the scientific community with a tool to generate land surface products and its associated uncertainties and exploit these for data-intensive science.
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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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Timothy Na
Wiskunde en Natuurwetenschappen
t.c.na@cml.leidenuniv.nl | +31 71 527 2727
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Rutger Hoekstra
Wiskunde en Natuurwetenschappen
r.hoekstra@cml.leidenuniv.nl | +31 71 527 2727
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Kai Li
Wiskunde en Natuurwetenschappen
k.li@cml.leidenuniv.nl | +31 71 527 2727
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Mirko Forastiere
Wiskunde en Natuurwetenschappen
m.forastiere@cml.leidenuniv.nl | +31 71 527 2727
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Spatiotemporal building stock modeling for residential decarbonization in the Netherlands
Decarbonizing the building stock is critical for realizing the climate-neutral target for the Netherlands.
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Innovative strategies to clinically characterize the human tear proteome
Transplantation of labial salivary glands to the eyelids for patients with dry eye appears to give excellent results clinically.
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Improved Strategies for Distance Based Clustering of Objects on Subsets of Attributes in High-Dimensional Data
This monograph focuses on clustering of objects in high-dimensional data, given the restriction that the objects do not cluster on all the attributes, not even on a single subset of attributes, but often on different subsets of attributes in the data.
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Toelatingseisen
Is dit de masterspecialisatie van je keuze? Lees dan hier over de toelating voor dit programma.
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New minor Sustainability, Climate Change and Food ‘A full spectrum analysis of global society’
In September 2023 the new minor Sustainability, Climate Change and Food starts. This minor critically examines the complexities of food sustainability through ecological, socio-economic, political, and cultural systems.
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Light Weighed: On the Statistics and Systematics of Weak Gravitational Lensing
In astronomy, the interpration of observations and measurements plays a crucial role: we rely purely and fundamentally on the information that reaches us as observers. And 80% of all matter in the universe is undetectable directly.
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Unveiling dark structures with accurate weak lensing
Improvements of weak gravitational lensing shape measurements are presented and some used for data analysis.
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China’s industrial carbon emissions: Historical drivers at the regional and sectoral levels and projections in light of policy targets
Has the industrial sector in China effectively been decarbonizing in recent years, across different regions and subsectors, and is it plausible that it will reduce its CO2 emissions in conformity with national and internationally pledged emission goals?
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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…
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Empirical Analysis of Social Insurance
Promotie
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Evaluation of the environmental impact of products (EIPRO)
Identification of the products or product groups that have the greatest environmental impact from a life-cycle perspective using environmentally extended input-output analysis.
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Exiopol
A new environmental accounting framework using externality data and input-output tools for policy analysis.
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Computational speedups and learning separations in quantum machine learning
This thesis investigates the contribution of quantum computers to machine learning, a field called Quantum Machine Learning. Quantum Machine Learning promises innovative perspectives and methods for solving complex problems in machine learning, leveraging the unique capabilities of quantum computers…