Lecture
Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.
This lecture covers the project pitch session on wildfire susceptibility mapping using ML-Al robotics, focusing on the application of Random Forest for mapping in 2022. It also includes experimental protocols, DFT feature engineering, SimpedCLIP, and Covid-19 detection using lung ultrasound data. The presentation delves into predicting apartment demand, the importance of bias detection in health applications, and a project pitch voting session.
This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.
Watch on Mediaspace