Grant: Postgraduate Scholarships - Doctoral
Carleton University
$40,000.00
Developing Pretrained Transformers for Remote Sensing
EF 2024-25
Résumé
transformers, self-supervised learning, transfer learning, remote sensing, earth observation, data compression, efficient deep learning, curriculum learning, climate monitoring, machine learning
Programme
Postgraduate Scholarships - Doctoral
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
580023-2023
Name nom
Fuller, Anthony AD
Department département
Systems and Computer Engineering
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
40000
Program id
PGSD
Program name en
Postgraduate Scholarships - Doctoral
Program name fr
Bourses d'études supérieures - doctorat
Group en
RESEARCH TRAINING AND TALENT DEVELOPMENT
Group fr
FORMATION EN RECHERCHE ET PERFECTIONNEMENT DES COM
Committee code
198
Committee name en
S&F Committee for Computing Sciences
Committee name fr
Comité de sélection des bourses en informatique
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Developing Pretrained Transformers for Remote Sensing
Application summary
transformers, self-supervised learning, transfer learning, remote sensing, earth observation, data compression, efficient deep learning, curriculum learning, climate monitoring, machine learning