Publications

This article introduces a Cloud-based platform designed for detecting and predicting snow avalanches. It emphasizes the process of collecting sensor data, storing it in the cloud, and using it as input for Machine Learning algorithms. The paper outlines the data workflow, system functionalities, and the essential data validation and pre-processing steps required before employing Machine Learning. Additionally, it discusses the integration of these Machine Learning features with the OpenGate cloud platform.