Finicky transfer learning—A method of pruning convolutional neural networks for cracks classification on edge devices

Convolutional neural network–based data recovery method for structural health monitoring

(2020) Byung Kwan Oh et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Bridge damage: Detection, IFC-based semantic enrichment and visualization

(2020) Dušan Isailović et al.   AUTOMATION IN CONSTRUCTION

Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning

(2020) Pravendra Singh et al.   IEEE Journal of Selected Topics in Signal Processing

A deep learning approach to building an intelligent video surveillance system

(2020) Jie Xu   MULTIMEDIA TOOLS AND APPLICATIONS

A Comprehensive Survey on Transfer Learning

(2020) Fuzhen Zhuang et al.   PROCEEDINGS OF THE IEEE

A real-time detection approach for bridge cracks based on YOLOv4-FPM

(2020) Zhenwei Yu et al.   AUTOMATION IN CONSTRUCTION

Automatic pixel-level multiple damage detection of concrete structure using fully convolutional network

(2019) Shengyuan Li et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

FEMa: a finite element machine for fast learning

(2019) Danilo R. Pereira et al.   NEURAL COMPUTING & APPLICATIONS

Encoder-decoder network for pixel-level road crack detection in black-box images

(2019) Seongdeok Bang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Pruning deep convolutional neural networks for efficient edge computing in condition assessment of infrastructures

(2019) Rih‐Teng Wu et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A dynamic ensemble learning algorithm for neural networks

(2019) Kazi Md. Rokibul Alam et al.   NEURAL COMPUTING & APPLICATIONS

Multi-classifier for reinforced concrete bridge defects

(2019) Philipp Hüthwohl et al.   AUTOMATION IN CONSTRUCTION

Structural health monitoring using extremely compressed data through deep learning

(2019) Mohsen Azimi et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Real‐time crack assessment using deep neural networks with wall‐climbing unmanned aerial system

(2019) Shang Jiang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Wearable technology for personalized construction safety monitoring and trending: Review of applicable devices

(2018) Ibukun Awolusi et al.   AUTOMATION IN CONSTRUCTION

Deep Transfer Learning for Image-Based Structural Damage Recognition

(2018) Yuqing Gao et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A novel unsupervised deep learning model for global and local health condition assessment of structures

(2018) Mohammad Hossein Rafiei et al.   ENGINEERING STRUCTURES

Automated Pixel-Level Pavement Crack Detection on 3D Asphalt Surfaces with a Recurrent Neural Network

(2018) Allen Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete

(2018) Sattar Dorafshan et al.   CONSTRUCTION AND BUILDING MATERIALS

Autonomous concrete crack detection using deep fully convolutional neural network

(2018) Cao Vu Dung et al.   AUTOMATION IN CONSTRUCTION

Evaluation of deep learning approaches based on convolutional neural networks for corrosion detection

(2017) Deegan J Atha et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

A New Neural Dynamic Classification Algorithm

(2017) Mohammad Hossein Rafiei et al.   IEEE Transactions on Neural Networks and Learning Systems

Prediction of the diameter of jet grouting columns with artificial neural networks

(2015) M. Ochmański et al.   SOILS AND FOUNDATIONS