Integration of deep learning into the iot: A survey of techniques and challenges for real-world applications
The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …
Advancements in condition monitoring and fault diagnosis of rotating machinery: A comprehensive review of image-based intelligent techniques for induction motors
Recently, condition monitoring (CM) and fault detection and diagnosis (FDD) techniques for
rotating machinery (RM) have witnessed substantial advancements in recent decades …
rotating machinery (RM) have witnessed substantial advancements in recent decades …
Application of segment anything model for civil infrastructure defect assessment
This research assesses the performance of two deep learning models, SAM and U-Net, for
detecting cracks in concrete structures. The results indicate that each model has its own …
detecting cracks in concrete structures. The results indicate that each model has its own …
Augmented reality-computer vision combination for automatic fatigue crack detection and localization
Fatigue cracks in bridges are inspected visually by specialized bridge inspection
professionals. Bridge inspectors conduct inspections in a limited amount of time, and at …
professionals. Bridge inspectors conduct inspections in a limited amount of time, and at …
Time-Inferred Autoencoder: A noise adaptive condition monitoring tool
Vibration-based condition monitoring relies on capturing spatio-temporal characteristics
(STCs) such as resonant frequencies and operational deflection shapes to assess the health …
(STCs) such as resonant frequencies and operational deflection shapes to assess the health …
AI in sensor research: A reality check and the underestimated potential of ChatGPT
PP Ray - ACS sensors, 2023 - ACS Publications
While Soo-Yeon Cho's Editorial “Artificial Intelligence: A Game Changer in Sensor
Research” 1 elucidates on the promising potential of artificial intelligence (AI) in sensor …
Research” 1 elucidates on the promising potential of artificial intelligence (AI) in sensor …
Advanced video-based processing for low-cost damage assessment of buildings under seismic loading in shaking table tests
This paper explores the potential of a low-cost, advanced video-based technique for the
assessment of structural damage to buildings caused by seismic loading. A low-cost, high …
assessment of structural damage to buildings caused by seismic loading. A low-cost, high …
A Review of Approaches for Mitigating Effects from Variable Operational Environments on Piezoelectric Transducers for Long-Term Structural Health Monitoring
AJ Brunner - Sensors, 2023 - mdpi.com
Extending the service life of ageing infrastructure, transportation structures, and processing
and manufacturing plants in an era of limited resources has spurred extensive research and …
and manufacturing plants in an era of limited resources has spurred extensive research and …
In the Direction of an Artificial Intelligence-Enabled Monitoring Platform for Concrete Structures
In a seismic context, it is fundamental to deploy distributed sensor networks for Structural
Health Monitoring (SHM). Indeed, regularly gathering data from a structure/infrastructure …
Health Monitoring (SHM). Indeed, regularly gathering data from a structure/infrastructure …
Comprehensive review of AI and ML tools for earthquake damage assessment and retrofitting strategies
PKS Bhadauria - Earth Science Informatics, 2024 - Springer
This comprehensive review paper examines the integration of Artificial Intelligence (AI) and
Machine Learning (ML) tools in earthquake engineering, specifically focusing on damage …
Machine Learning (ML) tools in earthquake engineering, specifically focusing on damage …