Search Results - "Ji, Haowei"

3D scene reconstruction of landslide topography based on data fusion between laser point cloud and UAV image by Ji, Haowei, Luo, Xianqi

“…The main topic of this research was to propose an optimizing modeling method of landslide topography. This method fuses high-resolution imagery from an…”
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Implementation of Ensemble Deep Learning Coupled with Remote Sensing for the Quantitative Analysis of Changes in Arable Land Use in a Mining Area by Ji, Haowei, Luo, Xianqi

“…The high-intensity exploitation of mineral resources in mining cities in China has created new environmental challenges and serious environmental situations in…”
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Visual Sorting of Express Packages Based on the Multi-Dimensional Fusion Method under Complex Logistics Sorting by Ren, Chuanxiang, Ji, Haowei, Liu, Xiang, Teng, Juan, Xu, Hui

“…Visual sorting of express packages is faced with many problems such as the various types, complex status, and the changeable detection environment, resulting…”
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Short-Term Traffic Flow Prediction: A Method of Combined Deep Learnings by Ren, Chuanxiang, Chai, Chunxu, Yin, Changchang, Ji, Haowei, Cheng, Xuezhen, Gao, Ge, Zhang, Heng

“…Short-term traffic flow prediction can provide a basis for traffic management and support for travelers to make decisions. Accurate short-term traffic flow…”
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Experimental and numerical simulation study on mechanical properties of fiber-reinforced plastic seismic isolator by Wang, Hao, Mu, Haoran, Guo, Xiaoxia, Zhang, Yunfei, Ji, Haowei, Luo, Chao, Feng, Huaiping, Liu, Donglin

“…•Developed a new type of fiber-reinforced seismic isolator with low cost and high-performance features.•Tensile and bending performance tests were conducted on…”
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Several Kinds of Residual Neural Networks Driven by Partial Differential Equations and Their Applications in Image Classification and Denoising by Ji, Haowei, Xu, Hao, Zhang, Yi, He, Jinchun

“…In the past few years, many scholars gradually began to interpret the conventional residual neural Networks (ResNet) as the partial differential equations…”
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