7 enregistrements totalisant 715,028.00 $ CAN, selon les données ouvertes officielles du gouvernement du Canada.
| Conseil national de recherches Canada | $715,028 | 7 enregistrements |
This project aims to develop a model that simulates coastal flooding.
Implement a commercialization strategy.
The project will develop and test a deep learning model for hurricane impact modeling and assessment.
The objective of this project is to develop an AI- and geospatial technology-based forest fire risk prediction system for risk analysis and management purposes.
The goal of this project is to test hypotheses and experiment with new mechanisms in order to design reproducible and scalable processes that can lead to new business methods in the SaaS solutions and...
The project aims to evaluate the feasibility of fluvial flood modeling for Quebec rivers with a reduced number of input data.
The funding provided from the IAP program is to assist innovative, early-stage small- and medium-sized enterprises that are unable to access existing COVID-19 business support.