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Detecting and clustering structural damages using modal information and variational autoencoder with triple loss
SK Huang, YJ Li, YX Lin - Structural Health Monitoring, 2025 - journals.sagepub.com
Among vibration-based structural health monitoring (SHM), methods based on modal
analysis are the most popular and efficient ones for assessing the inherent states of …
analysis are the most popular and efficient ones for assessing the inherent states of …
Integrating AI and statistical methods for enhancing civil structural practices: current trends, practical issues, and future direction
The integration of artificial intelligence (AI) and statistical methods has revolutionized civil
engineering by enhancing accuracy, efficiency, and reliability in various processes. This …
engineering by enhancing accuracy, efficiency, and reliability in various processes. This …
MobileNet based Convolutional Neural Network for Detecting Cracks in Concrete Surfaces
S Jency, G Ramkumar - 2024 5th International Conference on …, 2024 - ieeexplore.ieee.org
Early detection of concrete cracks is crucial for structural integrity. This research proposes a
MobileNet-based convolutional neural network (CNN) for automated crack detection. A …
MobileNet-based convolutional neural network (CNN) for automated crack detection. A …
[PDF][PDF] Predictive Modeling of Structural Performance Using Machine Learning: A Comprehensive Review
A Rajput - 2024 - vikrantuniversity.ac.in
Predicting structural performance is a critical aspect of civil engineering, ensuring the safety,
efficiency, and durability of buildings and infrastructure. Traditional methods, such as finite …
efficiency, and durability of buildings and infrastructure. Traditional methods, such as finite …