Natural Disaster Management (NDM), such as for wildfires and floods, can be significantly enhanced through automated, precise semantic 3D mapping and disaster evolution prediction, enabling near-real-time decision-making. This requires the analysis and fusion of heterogeneous extreme data sources, including smart drone sensors (e.g., RGB, RGBD, thermal cameras, Lidars), emergency vehicle sensors, in-situ sensors (smoke, moisture,… Continue reading Sensors and Big Visual Data Analytics for Natural Disaster Management (NDM)
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ENFIELD Hackathon 2025: AI for Energy Efficiency (ENFIELD educational material)
The ENFIELD Hackathon 2025 was organized in the framework of the Horizon Project ENFIELD, having taken place in Tallinn, Estonia, on August, 29 and 30 2025.
ENFIELD AI Summer School 2025 (ENFIELD educational material)
The AI Summer School was organized in the framework of the Horizon Project ENFIELD, having taken place at the Budapest University of Technology and Economics, Hungary, from July, 28 to August, 1 2025.
Bias in Medical AI: Identifying Risks and Ensuring Fairness (ENFIELD educational material)
The second ENFIELD webinar was organized in the framework of the Horizon Project ENFIELD, having taken place online on May 23, 2025.
Exploring AI Technologies from Ethics to Trust (ENFIELD educational material)
The 2024 ENFIELD webinar was organized in the framework of the Horizon Project ENFIELD, having taken place online on November 15, 2024.
X-ray Anomaly Detection in Industrial Pipelines
As Deep Neural Network (DNN)-based algorithms are improving, pivotal changes are happening towards efficient and effective automation in the field of industrial inspection. In the scope of our project, we analyze X-ray images of steel pipelines to detect the presence of corrosion in a novel way. In our industrial scenario, a drone lands a crawler… Continue reading X-ray Anomaly Detection in Industrial Pipelines