Construction Status Prediction Method for Large Trailing Suction Hopper Dredger Based on Multiple Features and Model Fusion-Reference-Cited by-同舟云学术

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Construction Status Prediction Method for Large Trailing Suction Hopper Dredger Based on Multiple Features and Model Fusion

Published:2023-11-30 Issue: Volume:189 Page:1-14
ISSN:
Container-title:ICCREM 2023
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Author:

Yang Lijun¹²¹²³,Gao Xuexiang¹²¹²³,Cheng Tao¹²¹²³,Liu Jiajun¹²¹²³,Bai Shuo¹²¹²³,Hu Yunpin¹²¹²³

Affiliation:

1. Dept. of Engineering Management, Wuhan Univ. of Technology, Wuhan, China.

2. Shenzhen Nanshan District Construction and Works Dept., Shenzhen, China.

3. Associate Professor, Dept. of Engineering Management, Wuhan Univ. of Technology, Wuhan, China (corresponding author).

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485217.001

Reference15 articles.

1. A new measuring method of dredging concentration based on hybrid ensemble deep learning technique

2. Biesiada, J., and Duch, W. (2007). “Feature selection for high-dimensional data—A Pearson redundancy based filter”. Computer Recognition Systems 2, Springer, Berlin, Heidelberg, 242-249.

3. Real time map generation using sidescan sonar scanlines for unmanned underwater vehicles

4. Automatic key frame extraction in continuous videos from construction monitoring by using color, texture, and gradient features

5. Tutorial on practical tips of the most influential data preprocessing algorithms in data mining

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