Related projects
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
Anomaly Detection in Satellite Data Using Quadratic Neural Networks
The goal of this project is to develop a machine learning tool based on quadratic neural networks to perform automated telemetry analysis and detection of known anomalies faster than the current state-of-the-art, and to produce indicators to possible new and unknown anomalies in satellite data.
Faculty Supervisor:
Luis Rodrigues
Student:
Partner:
Calian Ltd
Discipline:
Engineering
Sector:
Professional, scientific and technical services
University:
Concordia University
Program:
Accelerate
Current openings
Find the perfect opportunity to put your academic skills and knowledge into practice!
Find Projects
International
Load More
International
Load More
