Disaster Analysis Using Machine Learning
P Purushotham, D Divya Priya, Ajmeera Kiran
Abstract
Disaster analysis includes data on natural and man-made disasters like tsunamis and earthquakes. This article reviews machine learning techniques for pandemic and disaster management. Most nations worry about rare disasters and pandemics. Disaster and pandemic management has used IoT, object sensing, UAV, 5G and cellular networks, smartphone-based systems, and satellite-based systems. Machine learning (ML) methods can handle multidimensional, enormous volumes of data found in disaster and pandemic management and are well-suited for related tasks such as recognition and classification. Machine learning algorithms can predict disasters and help with disaster management duties including establishing crowd evacuation routes and analyzing social media posts. Machine learning algorithms also help anticipate pandemics, monitor pandemic spread, and diagnose diseases.