专题：Infrastructure Maintenance and Monitoring

This cluster of papers focuses on the automated inspection and maintenance of pavement and civil infrastructure using deep learning, image processing, and convolutional neural networks. The research covers topics such as crack detection, defect classification, road surface monitoring, bridge inspection, and infrastructure condition assessment.
最新文献
Fatigue Life Prediction for Orthotropic Steel Bridge Decks welds Using a Gaussian Variational Bayes Network and Small Sample Experimental Data

article Full Text OpenAlex

Advancements and emerging trends in integrating machine learning and deep learning for SHM in mechanical and civil engineering: a comprehensive review

review Full Text OpenAlex

A IoT-based Novel Methodology to Optimize Multidimensional Flood Resilience of Drainage Systems for Sponge City

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YOLOv11-CAFM model in ground penetrating radar image for pavement distress detection and optimization study

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A Vision Transformer-based method for predicting seismic damage states of RC piers: Database development and efficient assessment

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Balancing accuracy and interpretability: AI-driven predictive modeling of construction schedule performance in India

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Stochastic vibration prediction of long-span bridges under traffic load based on deep neural network of multi-mode information fusion

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Transformer-based large vision model for universal structural damage segmentation

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Machine learning in concrete durability: challenges and pathways identified by RILEM TC 315-DCS towards enhanced predictive models

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A framework for automatic Real-Time Pixel-Level segmentation of underwater dam concrete cracks utilizing the CRTransU-Net model

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近5年高被引文献
Fault Detection Method based on Artificial Neural Network for 330kV Nigerian Transmission Line

article Full Text OpenAlex 1770 FWCI1289.779

Pavement analysis and design

book-chapter Full Text OpenAlex 1349 FWCI608.708

Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges

review Full Text OpenAlex 654 FWCI14.381

Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications

article Full Text OpenAlex 641 FWCI76.856

Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models

article Full Text OpenAlex 466 FWCI44.194

Machine learning for structural engineering: A state-of-the-art review

review Full Text OpenAlex 457 FWCI15.807

Application of deep learning algorithms in geotechnical engineering: a short critical review

article Full Text OpenAlex 427 FWCI44.805

Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights

article Full Text OpenAlex 378 FWCI35.893

Structural health monitoring of civil engineering structures by using the internet of things: A review

review Full Text OpenAlex 354 FWCI12.1

SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud

article Full Text OpenAlex 346 FWCI19.762