By using Unreal Engine for the creation of virtual environments we are able to simulate fire and flood scenarios with high accuracy and by using virtual UAVs we collect big virtual datasets. Mixing the virtual data with real-world data and training state-of-the-art machine learning models we hope to be able to detect real-world fires and… Continue reading Simulation of forest fires and floods
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Flash flood modeling and in urban areas using High Resolution hydrodynamic model and machine learning models
Modeling flash floods in urban areas with complex topography is always challenging. Considering fine-scale hydrodynamic 2D shallow water model to perform simulations requires a lot of manual or semi-automatic data processing before being able to run simulations. This involves the transformation of high-resolution Digital Surface Model (Lidar) into a Digital Elevation Model that conserves the… Continue reading Flash flood modeling and in urban areas using High Resolution hydrodynamic model and machine learning models
From Cloud to Edge through Microservices
Cloud Computing during the time has gained concrete evidence to be a disruptive technology still in its full development. Many drawbacks of the Cloud have brought to improve many their crucial aspects, like performance, security and privacy, etc. Today Edge Computing try to deal with these implications to make them less problematic and much more… Continue reading From Cloud to Edge through Microservices
Multimodal Analysis of Geo-social Media Data for Improved Disaster Management: From Science to Digital Practice
The challenges that emergency services face when dealing with disasters are becoming increasingly complex. Thus, methods of analysing new digital information for situation assessment and operational planning is of crucial importance. This talk presents an approach for multi-modal analysis of digital data such as geo-social media posts using artificial intelligence (AI), helping to ensure the… Continue reading Multimodal Analysis of Geo-social Media Data for Improved Disaster Management: From Science to Digital Practice
Data Storytelling and Big Data value chain in Natural Disaster Management
This lecture explores the concepts of Data Storytelling and the Big Data value chain in the context of Natural Disaster Management. It delves into the significance of effectively communicating data to inform decision-making and seeks to uncover the potential of utilizing big data to improve disaster response and mitigation efforts. The lecture discusses the challenges… Continue reading Data Storytelling and Big Data value chain in Natural Disaster Management
Deep Learning for Post-Earthquake Safety Evaluation of Masonry Buildings
Natural disasters present multifaceted challenges that necessitate swift and accurate responses. In the realm of post-earthquake safety assessments, the rapid and precise evaluation of damages is pivotal to ensure the optimal allocation of resources and facilitate effective emergency management. Many earthquake-prone nations employ standardized forms, such as the Italian AeDES, New Zealand Earthquake Rapid Assessment,… Continue reading Deep Learning for Post-Earthquake Safety Evaluation of Masonry Buildings