Emerging Sensors and AI-Driven Innovations in Infrastructure Health Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".
Deadline for manuscript submissions: 15 November 2025 | Viewed by 656
Special Issue Editors
Interests: structural health monitoring; artificial intelligence; remote sensing; intelligent sensing
Special Issues, Collections and Topics in MDPI journals
Interests: low-cost sensor; structural health monitoring applications; bridge structure; operational modal analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The field of infrastructure health monitoring is undergoing transformative advancements driven by the emergence of novel sensors, AI-driven algorithms, and innovative technologies. This Special Issue is dedicated to showcasing the latest research and developments in these areas, with a specific focus on their applications in monitoring, controlling, and assessing critical infrastructures, including bridges, buildings, and other civil engineering structures.
We invite submissions that delve into various aspects of this field, including the development and deployment of innovative sensor technologies, particularly low-cost options, that address the unique challenges of structural health monitoring. Contributions that highlight the integration of artificial intelligence (AI) into enhancing data analysis, anomaly detection, and predictive maintenance are particularly welcome. Additionally, research on the fusion of sensor data with AI to boost the accuracy and reliability of monitoring systems, as well as advancements in modal analysis methods, will be emphasized. Furthermore, this Special Issue seeks to explore the validation and calibration of low-cost sensors and the application of emerging technologies such as the IoT, digital twins, and edge computing. We aim to gather insights into the future directions and challenges within these dynamic and rapidly evolving fields.
Dr. Seyyedbehrad Emadi
Dr. Komarizadehasl Seyedmilad
Guest Editors
Manuscript Submission Information
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Keywords
- infrastructure health monitoring
- novel sensor technologies
- AI-driven algorithms
- sensor fusion
- modal analysis
- low-cost sensors
- predictive maintenance
- digital twins
- IoT in civil engineering
- edge computing in monitoring
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