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Sensen Wu
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2020 – today
- 2022
- [j13]Yilin Zhu, Sensen Wu
, Mengjiao Qin, Zhiyi Fu, Yi Gao, Yuanyuan Wang, Zhenhong Du:
A deep learning crop model for adaptive yield estimation in large areas. Int. J. Appl. Earth Obs. Geoinformation 110: 102828 (2022) - [j12]Sensen Wu
, Jin Qi, Zhen Yan, Fangzheng Lyu
, Tao Lin, Yuanyuan Wang, Zhenhong Du:
Spatiotemporal assessments of nutrients and water quality in coastal areas using remote sensing and a spatiotemporal deep learning model. Int. J. Appl. Earth Obs. Geoinformation 112: 102897 (2022) - [j11]Zhen Dai, Sensen Wu
, Yuanyuan Wang, Hongye Zhou, Feng Zhang
, Bo Huang, Zhenhong Du
:
Geographically convolutional neural network weighted regression: a method for modeling spatially non-stationary relationships based on a global spatial proximity grid. Int. J. Geogr. Inf. Sci. 36(11): 2248-2269 (2022) - [j10]Bing Yang
, Sensen Wu
, Zhen Yan
:
Effects of Climate Change on Corn Yields: Spatiotemporal Evidence from Geographically and Temporally Weighted Regression Model. ISPRS Int. J. Geo Inf. 11(8): 433 (2022) - [j9]Zimo Wang, Yicheng Wang, Sensen Wu
, Zhenhong Du:
House Price Valuation Model Based on Geographically Neural Network Weighted Regression: The Case Study of Shenzhen, China. ISPRS Int. J. Geo Inf. 11(8): 450 (2022) - [j8]Chao Wang
, Fangzheng Lyu
, Sensen Wu
, Yuanyuan Wang, Liuchang Xu, Feng Zhang
, Shaowen Wang, Yongheng Wang, Zhenhong Du
:
A deep trajectory clustering method based on sequence-to-sequence autoencoder model. Trans. GIS 26(4): 1801-1820 (2022) - [i1]Zimo Wang, Yicheng Wang, Sensen Wu:
House Price Valuation Model Based on Geographically Neural Network Weighted Regression: The Case Study of Shenzhen, China. CoRR abs/2202.04358 (2022) - 2021
- [j7]Sensen Wu
, Zhongyi Wang
, Zhenhong Du
, Bo Huang
, Feng Zhang
, Renyi Liu
:
Geographically and temporally neural network weighted regression for modeling spatiotemporal non-stationary relationships. Int. J. Geogr. Inf. Sci. 35(3): 582-608 (2021) - [j6]Chengkun Zhang
, Liuchang Xu
, Zhen Yan, Sensen Wu
:
A GloVe-Based POI Type Embedding Model for Extracting and Identifying Urban Functional Regions. ISPRS Int. J. Geo Inf. 10(6): 372 (2021) - [j5]Jingtao Sun, Sensen Wu
, Zhen Yan
, Yadong Li
, Cheng Yan, Feng Zhang
, Renyi Liu, Zhenhong Du:
Using Geographically Weighted Regression to Study the Seasonal Influence of Potential Risk Factors on the Incidence of HFMD on the Chinese Mainland. ISPRS Int. J. Geo Inf. 10(7): 448 (2021) - [j4]Yijun Chen, Sensen Wu
, Yuanyuan Wang, Feng Zhang
, Renyi Liu, Zhenhong Du:
Satellite-Based Mapping of High-Resolution Ground-Level PM2.5 with VIIRS IP AOD in China through Spatially Neural Network Weighted Regression. Remote. Sens. 13(10): 1979 (2021) - 2020
- [j3]Zhenhong Du
, Zhongyi Wang
, Sensen Wu
, Feng Zhang
, Renyi Liu
:
Geographically neural network weighted regression for the accurate estimation of spatial non-stationarity. Int. J. Geogr. Inf. Sci. 34(7): 1353-1377 (2020)
2010 – 2019
- 2018
- [j2]Zhenhong Du, Sensen Wu
, Feng Zhang, Renyi Liu, Yan Zhou:
Extending geographically and temporally weighted regression to account for both spatiotemporal heterogeneity and seasonal variations in coastal seas. Ecol. Informatics 43: 185-199 (2018) - [j1]Zhenhong Du
, Sensen Wu
, Mei-Po Kwan
, Chuanrong Zhang
, Feng Zhang
, Renyi Liu:
A spatiotemporal regression-kriging model for space-time interpolation: a case study of chlorophyll-a prediction in the coastal areas of Zhejiang, China. Int. J. Geogr. Inf. Sci. 32(10): 1927-1947 (2018)
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