AI in Structural Health Monitoring for Infrastructure Maintenance and Safety

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Bibliographische Detailangaben
Veröffentlicht in:	Infrastructures vol. 9, no. 12 (2024), p. 225
1. Verfasser:	Plevris, Vagelis
Weitere Verfasser:	Papazafeiropoulos, George
Veröffentlicht:	MDPI AG
Schlagworte:	Signal analysis Data processing Data acquisition Trends Noise prediction Nondestructive testing Civil engineering Maintenance management Damage detection Remote monitoring Data analysis Automation Machine learning Infrastructure Risk analysis Data collection Internet of Things Vibration Risk assessment Accountability Structural health monitoring Big Data Construction Adaptive systems Embedded systems Bibliometrics Artificial intelligence Computer vision Noise reduction Decision making Sensors Algorithms Anomalies Deep learning Real time Bridges Nuclear power plants Predictive maintenance
Online-Zugang:	Citation/Abstract Full Text + Graphics Full Text - PDF
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