Registre des initiatives en IA
Toutes les initiatives inscrites au registre sont consultables ici, sans compte. Chaque fiche montre son avancement, ses jalons et l'historique de ses décisions. Les demandes encore en cours de triage n'y figurent pas : elles rejoignent le registre une fois examinées.
Filtrer 1
4 initiative(s) courante(s)
-
222
Automated assessment of Crowd Source BathymetryThe Community Hydrography team is working with the University of New Brunswick (UNB) on a tool-kit that will automate the assessment of large volumes of crowd source data. AI routines will allow for automated QC, and drafting of Navigation Warnings.
Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision
-
127
Automated assessment of Crowd Source BathymetryThe Community Hydrography team is working with the University of New Brunswick (UNB) on a tool-kit that will automate the assessment of large volumes of crowd source data. AI routines will allow for automated QC, and drafting of Navigation Warnings.
Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision
-
61
CTD data QC using MLWorking with CDOS office to streamline our CTD QC using ML cnn and others
Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision
-
31
Quality control of oceanographic data - Maritimes RegionThe goal of the project is to assist in the processing and quality control of CTD (oceanographic) data by leveraging machine learning models to predict quality flags for the CTD data products generated by Maritimes region, enabling faster data processing by reducing manual burden. Initial explorations have been conducted to investigate transferability of existing quality control models from Pacific region. Based on investigation results, new models will be trained specific to Maritimes region. Client: Maritimes Region - Ocean Data
Pilote Politiques stratégiques Automatisation et aide à la décision