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Grant: Applied Research and Development Grants - Level 2

Saskatchewan Polytechnic

$75,000.00

Particle Size Classification for Gravel Aggregate using Machine Learning

EF 2023-24

Résumé
aggregate; computer vision; image processing; machine learning; portable systems; sieve analysis
Programme
Applied Research and Development Grants - Level 2
Emplacement
Saskatchewan, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
571004-2021
Name nom
Blum, Susan SC
Department département
Head Office
Organization id
44957
Institution établissement
Saskatchewan Polytechnic
Province en
Saskatchewan
Province fr
Saskatchewan
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2021
Award amount
75000
Program id
CARD2
Program name en
Applied Research and Development Grants - Level 2
Program name fr
Subventions de recherche et développement appliquée - niveau 2
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
202
Area of application group en
Natural resources (economic aspects)
Area of application group fr
Ressources naturelles (aspects économiques)
Area of application en
Mineral resources ( prospecting, exploration, mining, extraction, processing)
Area of application fr
Ressources minérales (prospection, exploration, mines, extraction et préparation)
Research subject code
2708
Research subject group en
Information technology
Research subject group fr
Image processing
Research subject en
Technologie de l'information
Research subject fr
Traitement des images
Application title
Particle Size Classification for Gravel Aggregate using Machine Learning
Keyword
aggregate; computer vision; image processing; machine learning; portable systems; sieve analysis
Application summary
aggregate; computer vision; image processing; machine learning; portable systems; sieve analysis