Home Posters P2.47s Interpretable Machine Learning for the Early Smoke Wild-fire Detection P2.47s Interpretable Machine Learning for the Early Smoke Wild-fire Detection Advanced Satellite Systems Sensors & Intelligence Xiongren Chen, University of South Australia This project focuses on developing interpretable models for early smoke wild-fire detection from satellite images. Download Related Posters Advanced Satellite Systems Sensors & Intelligence Uakomba Uhongora, University of South Australia P2.44s Deep Learning Intrusion Detection System for Smart Satellite Networks Based on Software Defined Networking Advanced Satellite Systems Sensors & Intelligence Lucas Tsutsui da Silva, The University of New South Wales P2.43s Semi-Supervised Learning for Automatic Improvement of Onboard Object Detection Models on Small Satellites Advanced Satellite Systems Sensors & Intelligence Harikesh Singh, University of the Sunshine Coast P2.19s An Empirical and Dynamic Tool for Prediction of Forest Fire Spread using RS and ML Techniques