Multistage semisupervised active learning framework for crack identification, segmentation, and measurement of bridges

Pixel‐level multicategory detection of visible seismic damage of reinforced concrete components

(2021) Zenghui Miao et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Pixel-level bridge crack detection using a deep fusion about recurrent residual convolution and context encoder network

(2021) Gang Li et al.   MEASUREMENT

Semi-supervised semantic segmentation network for surface crack detection

(2021) Wenjun Wang et al.   AUTOMATION IN CONSTRUCTION

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

(2021) Mateusz Żarski et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Crack detection using fusion features‐based broad learning system and image processing

(2021) Yang Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Balanced semisupervised generative adversarial network for damage assessment from low‐data imbalanced‐class regime

(2021) Yuqing Gao et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Automated pavement crack detection and segmentation based on two‐step convolutional neural network

(2020) Jingwei Liu et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

PEER Hub ImageNet: A Large-Scale Multiattribute Benchmark Data Set of Structural Images

(2020) Yuqing Gao et al.   JOURNAL OF STRUCTURAL ENGINEERING

Automated crack assessment and quantitative growth monitoring

(2020) Si‐Yu Kong 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

A dynamic ensemble learning algorithm for neural networks

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

Surface defect classification of steels with a new semi-supervised learning method

(2019) He Di et al.   OPTICS AND LASERS IN ENGINEERING

Computer vision-based concrete crack detection using U-net fully convolutional networks

(2019) Zhenqing Liu et al.   AUTOMATION IN CONSTRUCTION

Detection of sealed and unsealed cracks with complex backgrounds using deep convolutional neural network

(2019) Ju Huyan 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

Enhanced probabilistic neural network with local decision circles: A robust classifier

(2018) Mehran Ahmadlou et al.   INTEGRATED COMPUTER-AIDED ENGINEERING

Image-based post-disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization

(2018) Xiao Liang   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Zernike‐moment measurement of thin‐crack width in images enabled by dual‐scale deep learning

(2018) FuTao Ni et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Autonomous concrete crack detection using deep fully convolutional neural network

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

A New Neural Dynamic Classification Algorithm

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

An improved image processing method for assessing multiple cracking development in Strain Hardening Cementitious Composites (SHCC)

(2016) Cong Lu et al.   CEMENT & CONCRETE COMPOSITES

New methodology for modal parameters identification of smart civil structures using ambient vibrations and synchrosqueezed wavelet transform

(2016) Carlos A. Perez-Ramirez et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A new methodology for non-contact accurate crack width measurement through photogrammetry for automated structural safety evaluation

(2013) Mohammad R Jahanshahi et al.   Smart Materials and Structures

FoSA: F* Seed-growing Approach for crack-line detection from pavement images

(2011) Qingquan Li et al.   IMAGE AND VISION COMPUTING

An innovative methodology for detection and quantification of cracks through incorporation of depth perception

(2011) Mohammad R. Jahanshahi et al.   MACHINE VISION AND APPLICATIONS

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING