Structural Health Monitoring Systems
By continuously monitoring structures, Structural Health Monitoring Systems can provide early warning of potential structural issues, helping to prevent catastrophic failures, improve safety, and optimize maintenance practices. These systems are particularly valuable for critical infrastructure where the consequences of structural failure can be severe.
Seismic Monitoring
Seismic monitoring plays a crucial role in earthquake early warning systems, which can provide alerts to people in affected areas before the strong shaking from an earthquake reaches them. Additionally, it contributes to earthquake research, seismic hazard assessment, and the development of building codes and infrastructure resilience strategies in earthquake-prone regions.
AI and ML Approaches
The combination of AI and ML approaches involves using various algorithms, techniques, and methodologies to create intelligent systems that can learn from data, adapt to changing circumstances, and make decisions or predictions. In summary, "AI and ML approaches" encompass the application of artificial intelligence principles and machine learning techniques to develop intelligent systems capable of performing tasks that traditionally required human intelligence.
