Study of the Failure Mechanism of Mortar Rubble Using Digital Image Correlation, Acoustic Emission and Scanning Electron Microscopy by Zhao-Qi Li, Hongyun Chen, Jie Dong, Xin Yan, Shi-Rong Zhao, Ying-Hao Zheng, Yang Liu

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Accuracy Comparison of Estimation on Cotton Leaf and Plant Nitrogen Content Based on UAV Digital Image under Different Nutrition Treatments by Yang Liu, Yan Chen, Ming Wen, Yang Lu, Fuyu Ma

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Mechanical and Deformation Performance of Masonry Walls with Low-Strength Mortar Retrofitting Using Spray-on Polyurethane Coating by Hai Chen, Yang Liu, Ying Tian, Qunxian Huang

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A Multiscale Study of Moisture Influence on the Crumb Rubber Asphalt Mixture Interface by Lan Wang, Yang Liu, Le Zhang

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Model Test Study on the Response of Two Different Shallow-Foundation Framed Buildings under Tunnel Volume Loss by Yang Liu, Qinghua Zhang, Wei Liu, Tianzuo Wang, Zhu Liang, Zhifang Liu, Guochao Liu, Hansheng Xu

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Experimental and numerical studies of the impact breakage of granite with high ejection velocities. by Penglin Zhang, Zhijun Wu, Jinglai Sun, Yang Liu, Zhaofei Chu

“…The three-dimensional digital image correlation (3D DIC) technique was used to monitor the dynamic fragmentation process upon impact. …”
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Efficient characterization on the interlayer shear strengths of 3D printing polymers by Qinglin Wang, Gonghe Zhang, Xiaodong Zheng, Yinxu Ni, Fenghua Liu, Yang Liu, Luoyu Roy Xu

“…First, a traditional Iosipescu shear specimen was employed to validate the uniform shear strain field using digital image correlation. Second, a new necking-shaped shear specimen was proposed to measure the shear strength efficiently with the aid of an effective alignment assistant beam. …”
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Application of radiomics-based multiomics combinations in the tumor microenvironment and cancer prognosis by Wendi Kang, Xiang Qiu, Yingen Luo, Jianwei Luo, Yang Liu, Junqing Xi, Xiao Li, Zhengqiang Yang

“…Therefore, the synergistic analysis of digital image features (radiomics, pathomics) and genetic phenotypes (genomics) can comprehensively decode and characterize the heterogeneity of the TME as well as predict cancer prognosis. …”
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Estimation of the nitrogen content of potato plants based on morphological parameters and visible light vegetation indices by Yiguang Fan, Yiguang Fan, Haikuan Feng, Haikuan Feng, Xiuliang Jin, Jibo Yue, Yang Liu, Yang Liu, Zhenhai Li, Zhihang Feng, Xiaoyu Song, Guijun Yang

“…The results showed that (i) the values of potato H and CC extracted based on UAV digital images were accurate, and the accuracy of the pre-growth stages was higher than that of the late growth stage. …”
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A Two-Stage Automatic Color Thresholding Technique by Shamna Pootheri, Daniel Ellam, Thomas Grübl, Yang Liu

“…Accurately performing background suppression in PCA boards facilitates the inspection of digital images with small objects of interest, such as text or microcontrollers on a PCA board. …”
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Monitoring of Soybean Maturity Using UAV Remote Sensing and Deep Learning by Shanxin Zhang, Hao Feng, Shaoyu Han, Zhengkai Shi, Haoran Xu, Yang Liu, Haikuan Feng, Chengquan Zhou, Jibo Yue

“…We used a high-definition digital camera on board a UAV to collect high-definition soybean canopy digital images. A total of 2662 soybean canopy digital images were obtained from two soybean breeding fields (fields F1 and F2). …”
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Integrating Spectral, Textural, and Morphological Data for Potato LAI Estimation from UAV Images by Mingbo Bian, Zhichao Chen, Yiguang Fan, Yanpeng Ma, Yang Liu, Riqiang Chen, Haikuan Feng

“…Vegetation growth features (Vis and plant height Hdsm) and texture features (TIs and VITs) were obtained from drone digital images. Various feature combinations (VIs, VIs + TIs, VIs + VITs, VIs + VITs + H_dsm) in three growth stages were adopted to monitor potato plant LAI using Partial Least Squares Regression (PLSR), Support Vector Regression (SVR), random forest (RF), and eXtreme gradient boosting (XGBoost), so as to find the best feature combinations and machine learning method. …”
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