Wildfire Susceptibility Mapping: ML-Al Robotics

In course

Description

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.

Instructors (2)

Official source

https://mediaspace.epfl.ch/media/0_nrqzsh01

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