Rainstorm-Induced Emergency Recognition from Citizens’ Communications Based on Spatial Feature Extraction and Transfer Learning-Reference-Cited by-同舟云学术

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Rainstorm-Induced Emergency Recognition from Citizens’ Communications Based on Spatial Feature Extraction and Transfer Learning

Published:2023-02 Issue:1 Volume:24 Page:
ISSN:1527-6988
Container-title:Natural Hazards Review
language:en
Short-container-title:Nat. Hazards Rev.

Author:

Liu Zhao-ge¹^ORCID,Li Xiang-yang²,Zhu Xiao-han³,Wu Chong⁴^ORCID

Affiliation:

1. Assistant Professor, School of Public Affairs, Xiamen Univ., Xiamen 361005, China (corresponding author). ORCID: .

2. Professor, School of Management, Harbin Institute of Technology, Harbin 150001, China.

3. Director, Government Service and Big Data Management Bureau of Wuhan Optics Valley District, Wuhan 430075, China.

4. Professor, School of Management, Harbin Institute of Technology, Harbin 150001, China. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Social Sciences,General Environmental Science,Civil and Structural Engineering,Building and Construction

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29NH.1527-6996.0000591

Reference54 articles.

1. Focus on Geodatabases in ArcGIS Pro

2. An empirical study on application and efficiency of gridded management in public service supply of Chinese Government

3. Manifold regularization: A geometric framework for learning from labeled and unlabeled examples;Belkin M.;J. Mach. Learn. Res.,2006

4. China Meteorological Administration. 2019. China meteorological yearbook. Beijing: Meteorology Press.

5. Dai W. Q. Yang G.-R. Xue and Y. Yu. 2007. “Boosting for transfer learning.” In Proc. 24th Int. Conf. on Machine Learning. New York: Association for Computing Machinery. https://doi.org/10.1145/1273496.1273521.

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