Deep learning based approach for the instance segmentation of clayey soil desiccation cracks

Editorial for Advances and applications of deep learning and soft computing in geotechnical underground engineering

(2022) Wengang Zhang et al.   Journal of Rock Mechanics and Geotechnical Engineering

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

(2021) Wengang Zhang et al.   ARTIFICIAL INTELLIGENCE REVIEW

A Mask R-CNN based particle identification for quantitative shape evaluation of granular materials

(2021) Dangfu Yang et al.   POWDER TECHNOLOGY

Instance segmentation of apple flowers using the improved mask R–CNN model

(2020) Yunong Tian et al.   BIOSYSTEMS ENGINEERING

Crack Detection and Segmentation Using Deep Learning with 3D Reality Mesh Model for Quantitative Assessment and Integrated Visualization

(2020) Rony Kalfarisi et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring

(2019) Billie F. Spencer et al.   Engineering

Tensile strength of clayey soil and the strain analysis based on image processing techniques

(2019) Hao-Da Li et al.   ENGINEERING GEOLOGY

Applicability of Microbial Calcification Method for Sandy-Slope Surface Erosion Control

(2019) Ning-Jun Jiang et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Effects of microstructure on desiccation cracking of a compacted soil

(2019) Qing Cheng et al.   ENGINEERING GEOLOGY

Application of electrical resistivity method in the characterization of 2D desiccation cracking process of clayey soil

(2019) Ni An et al.   ENGINEERING GEOLOGY

Deep learning–based image instance segmentation for moisture marks of shield tunnel lining

(2019) Shuai Zhao et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Nucleation and propagation mechanisms of soil desiccation cracks

(2018) Lin-Lin Wang et al.   ENGINEERING GEOLOGY

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Fractal analysis of cracking in a clayey soil under freeze–thaw cycles

(2016) Yang Lu et al.   ENGINEERING GEOLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Automatic quantification of crack patterns by image processing

(2013) Chun Liu et al.   COMPUTERS & GEOSCIENCES

Desiccation and cracking behaviour of clay layer from slurry state under wetting–drying cycles

(2011) Chao-Sheng Tang et al.   GEODERMA

A Survey on Transfer Learning

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

Fast crack detection method for large-size concrete surface images using percolation-based image processing

(2009) Tomoyuki Yamaguchi et al.   MACHINE VISION AND APPLICATIONS

NULL CREATION OF AIR-FILLED STRUCTURAL PORES BY SOIL CRACKING AND SHRINKAGE IN SILTY LOAMY SOILS

(2009) Miguel A. Taboada et al.   SOIL SCIENCE