Tema

Maskinlæring

(Artificial intelligence, Deep learning )

Benjamin Cretois

  • Deep learning 
  • Image recognition / detection
  • Eco-acoustic
  • Spatial statistics
  • GIS
  • Citizen science data


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Vegar Bakkestuen

Major practical experience includes: Thorough knowledge of different GIS applications, e.g. ArcView, ArcGIS, ArcInfo, ERDAS IMAGINE, Surfer, Idrisi, MapObjects, Grass, MapFactory, Splus SpatialStatistics. Thorough knowledge of Avenue, script language of ArcView. Development of scripts and extensions for ArcView Knowledge of VisualBasic programming Digital landscape- and terrain analyses Spatial statistics Studies of vegetation structure and vegetation dynamics Regional studies of impacts of acid deposition on terrestrial plant biota, - vascular plants, bryophytes, lichens and fungi. Fieldwork design, sampling protocols and data analyses Numerical and statistical treatment of field data, including multivariate analyses like CA, DCA and direct gradient analyses; e.g. CCA constrained ordination


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Francesco Frassinelli


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Richard Hedger

ecological modeling, remote sensing, freshwater ecology, ecological consequences of climate change and hydropower


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Carolyn Rosten


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Norsk institutt for naturforskning

NINA er en uavhengig stiftelse som forsker på natur og samspillet natur – samfunn.
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