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Displaying results 1 - 10 / 13
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Project's name
Organization
Starting year
iGenPredict: innovative genomic
prediction
tools 01
Natural Resources Institute Finland
2020
Trafficability
Prediction
and Route Planning for Forest Machines
Natural Resources Institute Finland
2020
Genomics in BLUP: Continuous genomic
prediction
by single-step evaluation 01
Natural Resources Institute Finland
2020
Prediction
of the regional variation of forest productivity using process-based models.
University of Helsinki
2004
The Finnish Type 1 Diabetes
Prediction
and Prevention (DIPP) Nutrition study: allergy arm
University of Helsinki
1996
Facilitating reliable CAZyme function
prediction
of fungal enzymes from expanded and poorly characterized families
University of Helsinki
2021
Spatial
PREdiction
of Benthic HABitats in the Baltic Sea: incorporating anthropogenic pressures and economic evaluation
University of Helsinki
2009
Combining growth models and multi-date satellite imagery inventory for improved carbon
prediction
of tropical forest
University of Helsinki
2015
Ml-Mining: Machine Learning Surrogate Modeling for Environmental Risk Assessment and Water Quality
Prediction
at Mining Sites
Geological Survey of Finland
2023
Carbon balance of forested peatlands -
prediction
s and monitoring in changing conditions
University of Helsinki
2006
iGenPredict: innovative genomic
prediction
tools 01
2020
Trafficability
Prediction
and Route Planning for Forest Machines
2020
Genomics in BLUP: Continuous genomic
prediction
by single-step evaluation 01
2020
Prediction
of the regional variation of forest productivity using process-based models.
2004
The Finnish Type 1 Diabetes
Prediction
and Prevention (DIPP) Nutrition study: allergy arm
1996
Facilitating reliable CAZyme function
prediction
of fungal enzymes from expanded and poorly characterized families
2021
Spatial
PREdiction
of Benthic HABitats in the Baltic Sea: incorporating anthropogenic pressures and economic evaluation
2009
Combining growth models and multi-date satellite imagery inventory for improved carbon
prediction
of tropical forest
2015
Ml-Mining: Machine Learning Surrogate Modeling for Environmental Risk Assessment and Water Quality
Prediction
at Mining Sites
2023
Carbon balance of forested peatlands -
prediction
s and monitoring in changing conditions
2006
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