445 search results for “trait in automation” in the Public website
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Assistant Professor in Automated Reasoning (0.8-1.0 FTE)
Science, Leiden Institute of Advanced Computer Science (LIACS)
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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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General plant strategies and functions in wetlands: Global trait-based analyses
Wetland plants are distinguished from plants of other terrestrial ecosystems by their adaptations to specific habitat stresses, including waterlogged and flooding and the subsequent abundance of phytotoxic compounds.
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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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Disentangling drought-responsive traits with focus on Arabidopsis
In recent decades, climate change has led to more frequent and severe drought events, causing serious consequences such as increased forest mortality and significant crop yield losses. Understanding how drought affects plants, especially economically important herbaceous species, is crucial for predicting…
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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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Multi-sensor Earth Observation Products through phenology and trait-based priors
What are the behaviours of plant traits throughout various points in the growing season in a radiative transfer model framework and how well can this knowledge be integrated through data assimilation to provide priors for robust local and global vegetation products and analysis?
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A meta-analysis of wetland plant traits in relation to the strategies of wetland plants and the impacts on ecosystem functioning
What are trait-trait relationships in wetlands? To what extent the so-called leaf economics traits deviate from terrestrial ecosystems? How traits specific to wetland plant relate to plant strategies? What’s the relationship between wetland plant traits to the ecosystem functioning (e.g. productivity,…
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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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Francesco Walker
Faculteit der Sociale Wetenschappen
f.walker@fsw.leidenuniv.nl | +31 71 527 2727
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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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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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Unravelling the genes responsible for life history traits in the giant woody cabbage (Brassica oleracea)
Which genes are involved in woodiness and associated traits such as drought tolerance, flowering time, stem elongation, life span, and plant herbivory, and how do these gene regulatory pathways overlap?
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Phenotypic engineering of photosynthesis related traits in Arabidopsis thaliana using genome interrogation
Promotor: P.J.J. Hooykaas, Co-Promotor: E.J. van der Zaal
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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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Measuring species traits for biodiversity policy goals
An international team including Peter van Bodegom shows how trait variability can be incorporated in Essential Biodiversity Variables to allow monitoring how organisms respond to global change. They published their results in the journal Nature Ecology & Evolution.
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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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Jianhong Zhou
Science
j.zhou@cml.leidenuniv.nl | +31 71 527 1494
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The strategy of plants: it’s all about balancing traits
Just like every other organism on Earth, plants’ ultimate goal is to survive and reproduce. In order to achieve this, they must make trade-offs between where and how to allocate their finite set of resources. Whether they put their resources and energy into their growth, reproduction or maintenance,…
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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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Andreas Paraskeva
Science
a.paraskeva@liacs.leidenuniv.nl | +31 71 527 2727
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Solvent tolerance mechanisms in Pseudomonas putida
Bacterial biocatalysis constitutes a sustainable alternative for high-value chemicals production by enabling the utilization of renewable feedstocks.
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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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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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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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Global fitness maximising approaches to evaluate the trade-offs involved in the evergreen and deciduous conundrum
Which traits and/or trade-offs determine benefits of being deciduous or evergreen?
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Remote sensing-based assessment of functional diversity for polar ecosystems
1: What is the relative importance of alfa and beta biodiversity in polar ecosystems, and how does intraspecific variation influence this? 2: How can we use remote sensing to determine functional biodiversity (within communities) in polar ecosystems? 3: Temporal and spatial scales of functional biodiversity:…
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Monitoring drought and salinity stress in agriculture by remote sensing for a sustainable future
Food security is challenged by a growing global population and by climate change. Drought and soil salinity are considered the most important ones that inhibit crop yield and distribution. Worryingly, climate change is predicted to increase not only their frequency and severity, but also their co-occurrence,…
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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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Eefje de Goede
Science
e.m.de.goede@cml.leidenuniv.nl | +31 71 527 2727
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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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Effects of pesticides on aquatic macrofauna in the field
Promotores: W.J.G.M. Peijnenburg, G.R. de Snoo, Co-promotor: M.G. Vijver
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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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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 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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Do fungi differ? Understanding the mechanisms of mycorrhizal fungal impacts on soil C sequestration
How presence, abundance and enzymatic activities of AM and EM fungi differently affect soil carbon sequestration processes?
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Using soil inoculations for ecological restorations
How soil microbial composition impacts structure and composition of the aboveground plant and animal communities?
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Quantitative modelling of the response of earthworms to metals
Promotor: Prof.dr. W.J.G.M. Peijnenburg, Co-promotor: Dr. ing. M.G. Vijver
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New ecological maps show a wider range of functional diversity
Together with a large international team of scientists, researchers Peter van Bodegom and Nadia Soudzilovskaia of the Leiden Institute of Environmental Sciences (CML) have created maps of variability in plant trait distribution across the globe. The new maps have been published in Proceedings of the…