Andrea Dall’Asta
Biographic Data
| ID | 6669397 |
|---|---|
| NAME | Andrea Dall’Asta |
| GIVEN NAMES | Andrea |
| FAMILY NAME | Dall’Asta |
| SIGNATURE | DALL’ASTA A |
| AFFILIATIONS | Università di Camerino |
| ORCID | 0000-0001-7482-9434 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Cipcast 5.0
The CIPCast Decision Support System (DSS), is a multi-hazard platform designed to monitor, assess, and support response to natural threats, including earthquakes, floods, extreme precipitation, and heatwaves. By integrating heterogeneous data sources, such as real-time meteorological forecasts, seismic network feeds, geospatial exposure layers, and UAV imagery, CIPCast enables consistent risk estimation across multiple spatial scales, from indivi…
Mapping seismic risk of existing highway bridges at a regional scale using Artificial Neural Networks
Preliminary fast assessment of bridge risk by neural network
National risk assessment of Italian school buildings
Strategic buildings, such as schools, play a crucial role in civil society. They are essential not only for the well-being of communities but also for their significance during the emergency and recovery phases following an earthquake. Reliable risk assessment is a powerful tool for implementing effective mitigation strategies. While considerable work has been already done in the literature to develop fragility curves and risk studies for residen…
Empirical predictive model for seismic damage and economic losses of Italian school building heritage
Innovations in earthquake risk reduction for resilience
The Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR) highlights the importance of scientific research, supporting the ‘availability and application of science and technology to decision making’ in disaster risk reduction (DRR). Science and technology can play a crucial role in the world's ability to reduce casualties, physical damage, and interruption to critical infrastructure due to natural hazards and their complex interactions. …
Integrated approach for seismic vulnerability analysis of historic massive defensive structures
Integrated approach for seismic vulnerability analysis of historic massive defensive structures
Innovations in earthquake risk reduction for resilience
The Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR) highlights the importance of scientific research, supporting the ‘availability and application of science and technology to decision making’ in disaster risk reduction (DRR). Science and technology can play a crucial role in the world's ability to reduce casualties, physical damage, and interruption to critical infrastructure due to natural hazards and their complex interactions. …
Empirical predictive model for seismic damage and economic losses of Italian school building heritage
National risk assessment of Italian school buildings
Strategic buildings, such as schools, play a crucial role in civil society. They are essential not only for the well-being of communities but also for their significance during the emergency and recovery phases following an earthquake. Reliable risk assessment is a powerful tool for implementing effective mitigation strategies. While considerable work has been already done in the literature to develop fragility curves and risk studies for residen…
Preliminary fast assessment of bridge risk by neural network
Cipcast 5.0
The CIPCast Decision Support System (DSS), is a multi-hazard platform designed to monitor, assess, and support response to natural threats, including earthquakes, floods, extreme precipitation, and heatwaves. By integrating heterogeneous data sources, such as real-time meteorological forecasts, seismic network feeds, geospatial exposure layers, and UAV imagery, CIPCast enables consistent risk estimation across multiple spatial scales, from indivi…
Mapping seismic risk of existing highway bridges at a regional scale using Artificial Neural Networks
Engineering (5 works) · Seismic Performance and Analysis (5 works) · Computer Science (4 works) · Forensic engineering (4 works) · Structural Health Monitoring Techniques (4 works) · Computer security (3 works) · Environmental Science (3 works) · Risk assessment (3 works) · Artificial Intelligence (2 works) · Artificial neural network (2 works)