SDC, Data Science and Knowledge

Difference between revisions of "Application domains"

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(Created page with " ==Environment and Geography== * Methods for analysis of remote sensing images all along the process: image, vectorisation (objects) , classification ===Knowledge extract...")
 
 
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==Environment, geography and agriculture==
  
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==Environment and Geography==
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* Temporal series of remote sensing images: clustering, change detection, active learning, constrained clustering
  
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* Methods for analysis of  remote sensing images all along the process: image, vectorisation  (objects) , classification
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* Water quality: Temporal pattern extraction and classification of sequences
  
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===Knowledge extraction from  spatio-temporal data in environmental domains===
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* Modelling, analysis and simulation of evolutions of agricultural or rural territories
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Spatio-temporal data are numerous in environmental domains, e.g. agroecology or hydroecology. These domains also require  to develop operational tools to help in the interpretation of the complex information concerning their functioning, as well as  the results of ongoing action programmes. To exploit these data we  adopt a knowledge discovery process. We both work on data structuration and preparation, and propose to explore various data mining approaches and make them collaborating, always involving experts from other labs (LIVE Strasbourg, TETIS Montpellier, INRA Mirecourt).
 
  
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==Innovation and Industry==
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==Health==
  
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===Industry 4.0===
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* Spatial analysis of histopathological images to help diagnosis
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* Formalisation of the communication layers in the framework of Smart Factories
 
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* Understanding the tactile perception of a product, with focus on sensory measurements in production.
 
  
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==Health==
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* Modelling and analysis of cerebral activity from IRMf
  
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* Tomographical reconstruction for cryo-electron microscopy
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* Classification of lesions using fuzzy ontologies
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==Innovation and industry==
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* Fault prediction, misuse of computing centers, battery quality

Latest revision as of 17:38, 19 April 2021

Environment, geography and agriculture

  • Temporal series of remote sensing images: clustering, change detection, active learning, constrained clustering
  • Water quality: Temporal pattern extraction and classification of sequences
  • Modelling, analysis and simulation of evolutions of agricultural or rural territories

Health

  • Spatial analysis of histopathological images to help diagnosis
  • Modelling and analysis of cerebral activity from IRMf
  • Classification of lesions using fuzzy ontologies

Innovation and industry

  • Fault prediction, misuse of computing centers, battery quality
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