A Comparative Machine Learning Algorithms for Integrated Structural Health Monitoring in Smart Infrastructure maintenance and predication
A practical decision-making framework for civil and electrical engineers selecting ML architectures for integrated smart infrastructure monitoring is provided, suggesting RF offered the most computationally efficient inference, making it highly suitable for edge-deployment in resource-constrained IoT nodes.