Image-based segmentation and quantification of weak interlayers in rock tunnel face via deep learning

Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring

(2019) Billie F. Spencer et al.   Engineering

Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm

(2019) Jian Zhou et al.   ENGINEERING WITH COMPUTERS

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

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

Collecting comprehensive traffic information using pavement vibration monitoring data

(2019) Zhoujing Ye et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

SDD-CNN: Small Data-Driven Convolution Neural Networks for Subtle Roller Defect Inspection

(2019) Xiaohang Xu et al.   Applied Sciences-Basel

A vision-based method for crack detection in gusset plate welded joints of steel bridges using deep convolutional neural networks

(2019) Cao Vu Dung et al.   AUTOMATION IN CONSTRUCTION

Augmented Reality Mapping of Rock Mass Discontinuities and Rockfall Susceptibility Based on Unmanned Aerial Vehicle Photogrammetry

(2019) Yichi Zhang et al.   Remote Sensing

Underground sewer pipe condition assessment based on convolutional neural networks

(2019) Syed Ibrahim Hassan et al.   AUTOMATION IN CONSTRUCTION

Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories

(2019) Jian Zhou et al.   SAFETY SCIENCE

Forecasting of TBM advance rate in hard rock condition based on artificial neural network and genetic programming techniques

(2019) Jian Zhou et al.   Bulletin of Engineering Geology and the Environment

SDDNet: Real-Time Crack Segmentation

(2019) Wooram Choi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach

(2018) Weili Fang et al.   ADVANCED ENGINEERING INFORMATICS

Automated defect classification in sewer closed circuit television inspections using deep convolutional neural networks

(2018) Srinath S. Kumar et al.   AUTOMATION IN CONSTRUCTION

A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory

(2018) Lieyun Ding et al.   AUTOMATION IN CONSTRUCTION

Automatic recognition of asphalt pavement cracks using metaheuristic optimized edge detection algorithms and convolution neural network

(2018) Hoang Nhat-Duc et al.   AUTOMATION IN CONSTRUCTION

Autonomous UAVs for Structural Health Monitoring Using Deep Learning and an Ultrasonic Beacon System with Geo-Tagging

(2018) Dongho Kang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A Fast Detection Method via Region-Based Fully Convolutional Neural Networks for Shield Tunnel Lining Defects

(2018) Yadong Xue et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Emerging artificial intelligence methods in structural engineering

(2018) Hadi Salehi et al.   ENGINEERING STRUCTURES

NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion

(2018) Fu-Chen Chen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

Deep learning based image recognition for crack and leakage defects of metro shield tunnel

(2018) Hong-wei Huang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Reasonable overburden thickness for underwater shield tunnel

(2018) Caixia Guo et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques

(2018) Jack C.P. Cheng et al.   AUTOMATION IN CONSTRUCTION

Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network

(2018) Xincong Yang 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

Convolutional Neural Networks for Neuroimaging in Parkinson’s Disease: Is Preprocessing Needed?

(2018) Francisco J. Martinez-Murcia et al.   International Journal of Neural Systems

Concrete surface crack detection with the improved pre-extraction and the second percolation processing methods

(2018) Zhong Qu et al.   PLoS One

Evaluation method of rockburst: State-of-the-art literature review

(2018) Jian Zhou et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Automated Vision-Based Detection of Cracks on Concrete Surfaces Using a Deep Learning Technique

(2018) Byunghyun Kim et al.   SENSORS

Structure from Motion photogrammetry to characterize underground rock masses: Experiences from two real tunnels

(2018) Ramiro García-Luna et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Autonomous concrete crack detection using deep fully convolutional neural network

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

Deep learning-based automatic volumetric damage quantification using depth camera

(2018) Gustavo H. Beckman et al.   AUTOMATION IN CONSTRUCTION

Deep learning for biological image classification

(2017) Carlos Affonso et al.   EXPERT SYSTEMS WITH APPLICATIONS

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Vision-based detection of loosened bolts using the Hough transform and support vector machines

(2016) Young-Jin Cha et al.   AUTOMATION IN CONSTRUCTION

A new method for automated discontinuity trace mapping on rock mass 3D surface model

(2016) Xiaojun Li et al.   COMPUTERS & GEOSCIENCES

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

(2015) Kaiming He et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A comparative study of the determination of rock mass deformation modulus by using different empirical approaches

(2012) C. Okay Aksoy et al.   ENGINEERING GEOLOGY

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION