356 search results for “tekst in automation” in the Public website
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Software developments in automated structure solution and crystallographic studies of the Sso10a2 and human C1 inhibitor protein
Promotor: J.P. Abrahams, Co-Promotor: N.S. Pannu
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Automated detection
The results of the investigations by citizens are used in an innovative research project that investigates the potential of machine learning and automated detection in archaeology.
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Automated test grading
The examination service delivers efficient and accurate processing of written tests and digital exams in platforms such as ANS and Remindo. Additionally, we offer guidance in interpreting statistical analyses of exam outcomes.
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Automated Decision-Making and Effective Remedies
Simona Demková, Assistant professor at the Europa Institute of Leiden University, publishes her book ‘Automated Decision-Making and Effective Remedies: The New Dynamics in the Protection of EU Fundamental Rights in the Area of Freedom, Security and Justice’.
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Automated Design and Analysis of Algorithms
The Automated Design and Analysis of Algorithms (ADA) research group pursues the development of Artificial Intelligence techniques that complement, rather than replace, human intelligence.
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Vertebrate automated screening technology (VAST)
How can you use robots and automatic recognition of microscopic images to test the effect of drugs exceptionally quickly?
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Francesco Walker
Faculteit der Sociale Wetenschappen
f.walker@fsw.leidenuniv.nl | +31 71 527 2727
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Automated de novo metabolite identification with mass spectrometry and cheminformatics
Promotor: Prof.dr. T. Hankemeier, Co-Promotores: T. Reijmers, L. Coulier
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Automated text analysis of policy-related documentation
Political institution (like the Council of the European Union and the European Parliament) generate large bodies of text. These great amounts of text can impossibly be read by a researcher. Contrary to human researchers, computers are able to read thousands of documents a day. In this research project…
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Automated machine learning for dynamic energy management using time-series data
Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…
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Towards automated identification of metabolites using mass spectral trees
Promotor: Prof.dr. T. Hankemeier, Co-promotor: Dr. Theo Reijmers
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Smart Courts, Smart Justice? Automation and Digitisation of Courts in China
On Tuesday 3 September 2024 Straton Papagianneas successfully defended a doctoral thesis and graduated.
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The use of Deep Learning in the automated detection of archaeological objects in remotely sensed data
Generally the data from remote sensing surveys - the scanning of the earth by satellite or aircraft in order to obtain information about it - is screened manually in archaeology. However, constant monitoring of the earth's surface causes a huge influx of data of high complexity and high quality. To…
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Innovative sample preparation and handling strategies for automated and high-throughput metabolomics
Metabolomics has the potential to play a pivotal role in understanding disease onset and progression, and ultimately personalized treatments. One of its major challenges is its large-scale implementation, which is necessary to deal with the high variability of the metabolome. In this work we have developed…
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Andreas Paraskeva
Science
a.paraskeva@liacs.leidenuniv.nl | +31 71 527 2727
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Limiting Viral Spread: Automated Cyber Operations and the Principles of Distinction and Discrimination in the Grey Zone
Monica Kaminska, Dennis Broeders and Fabio Cristiano have contributed a chapter to the proceedings of the 13th International Conference on Cyber Conflict (CyCon 2021), which gathers 20 articles from the law, technology and strategy domains.
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Innovative (electro-driven) sample preparation tools for metabolomics study of muscle aging
This thesis focuses on the development of sample-preparation methods for small amounts of samples and applying the developed methods to muscle tissues to investigate the mechanisms involved in sarcopenia.
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Complexity, errors, and administrative burdens
The authors of the article expect automation to improve accuracy in less complex programmes but worsens with increased complexity
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Agnes Schneider
Faculteit Archeologie
a.schneider@arch.leidenuniv.nl | +31 71 527 2727
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Enabling Analytical Technology
Within the MAC our Enabling Analytical Technology team is working to innovate all steps of analytical workflows. This includes developing novel sample preparation modules, creative sample handling methods, automated workflows, and more. Several projects implement the microfluidic principle of segmented…
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Synthesis of phosphodiester-containing bacterial cell wall components: teichoic acids, capsular polysaccharides and phosphatidyl glycerol analogues
Promotor: G.A. van der Marel, Co-promotor: J.D.C. Codée
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Impact of automated decision-making on European public law
From 14 to 15 September 2023, Simona Demkova, AI researcher at the Europa Institute, participated in the INDIGO Project Final Conference, where she provided valuable perspectives on the implications of AI for European public law.
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Ruben Huele
Science
huele@cml.leidenuniv.nl | +31 71 527 FLEX
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Julia Wasala
Science
j.wasala@liacs.leidenuniv.nl | +31 71 527 4799
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Electroextraction approaches for preconcentration of metabolites
In this thesis, we developed new ways to use a technique called electroextraction (EE) to extract charged molecules from one liquid into another using an electric field.
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Detection of Archaeological Sites in High Resolution Satellite Images
In this project we develop algorithms to automatically detect a particular type of archaeological sites in satellite images of the Alps.
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Nusa Zidaric
Science
n.zidaric@liacs.leidenuniv.nl | +31 71 527 4799
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Melanie Fink speaks on automation in the EU at conference on law and ethics of AI
The Asser Institute organised an interdisciplinary conference on ‘Law and ethics of artificial intelligence in the public sector: From principles to practice and policy’ that took place from 10 to 11 March 2022. Melanie Fink presented a paper co-authored with Michèle Finck.
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Data-driven Predictive Maintenance and Time-Series Applications
Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.
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Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
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Working Paper Series
The Working Paper Series reflects the yet-to-be published work of eLaw researchers and the unedited versions of manuscripts that have been accepted for publication by journals and books.
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Trust me, I’m a university
Technology and privacy, trust and mistrust. A discussion about this broke out when the University installed scanners and students protested. On Wednesday 2 February experts from Leiden University will explore this topic at the eponymous symposium. We called Roy de Kleijn, as a computer scientist and…
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Quantification in untargeted mass spectrometry-based metabolomics
Promotor: Prof.dr. T. Hankemeier, Co-promotor: T.H. Reijmers
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On hard real-time scheduling of cyclo-static dataflow and its application in system-level design
Promotor: Prof.dr. E.F.A. Deprettere, Co-promoter: Todor P. Stefanov
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Microscopy Unit
The Microscopy Unit houses, maintains and coordinates most of the microscopy equipment of the IBL. The available equipment ranges from conventional light and fluorescence microscopes, to confocal laser scanning and electron microscopes. In addition, infrastructure is available for histology, including…
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Boekpresentatie: Der Naturen Bloeme (25 april)
Half april verschijnt bij uitgeverij Walburg Pers: Jacob van Maerlant, Der Naturen Bloeme. Uit het Middelnederlands vertaald door Ingrid Biesheuvel.
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Quality-driven multi-objective optimization of software architecture design: method, tool, and application
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M.R.V. Chaudron, Co-Promotor: M.T.M. Emmerich
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Abolfazl Sajadi
Science
a.sajadi@liacs.leidenuniv.nl | +31 71 527 4799
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Julian Steinke
Faculteit der Sociale Wetenschappen
j.steinke@fsw.leidenuniv.nl | +31 71 527 2727
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Simona Demkova
Faculteit Rechtsgeleerdheid
s.demkova@law.leidenuniv.nl | +31 71 527 2727
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Veni grant for Melanie Fink
Melanie Fink, Assistant Professor of European law, has received a Veni grant from the Dutch Research Council (NWO). This research grant will allow Dr Fink to develop her ideas on ‘Gateways for Humanity: The Duty to Reason in the Automated State’ over a period of three years.
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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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The European Union in the annual United Nations General Assembly Debates
Madeleine O. Hosli & Jaroslaw Kantorowicz analyze EU states' foreign policy divergence at the UN General Debate, assessing if Lisbon Treaty reforms increased EU cohesion or if states maintain distinct positions.
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Automated spike and seizure detection
PhD defence
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Infrastructure
An overview of our infrastructure at the SPP division:
- Exploring new methods in comparing sign language corpora
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Leiden Learning & Innovation Centre
LLInC supports innovative and high-quality education, within Leiden University and in partnership with academic and social organisations.
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Research
At Leiden University, researchers from all disciplines work together to find answers and design innovations in the field of artificial intelligence.
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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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Archaeology
The Faculty of Archaeology