sea_ice_remote_sensing
Deep Learning models for Sea Ice Concentration classification generated from the architectures of Neural Network, 1D-CNN and concatenation of the two.
Imaging Specialist at Drivewyze by Fleetworthy Education: - M.Sc. Computing Science at U. of Alberta - B.Sc. Computer Science and Geography at U. of Victoria
Deep Learning models for Sea Ice Concentration classification generated from the architectures of Neural Network, 1D-CNN and concatenation of the two.
Official implementation of "PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on Neural Implicit Surface".
Sea Ice Phenological Indicator Detection Developed at the ICE Remote Sensing Lab at University of Victoria (UVic)
Data-driven simulation for training and evaluating full-scale autonomous vehicles.
Data Mining for Vancouver bike theft risk prediction/assessment model
This repo contains an individual project on developing Remote Sensing software