Guangyuan Zhang
Zitiert von
Zitiert von
Critical review of methods to estimate PM2. 5 concentrations within specified research region
G Zhang, X Rui, Y Fan
ISPRS International Journal of Geo-Information 7 (9), 368, 2018
Forest fire spread simulation algorithm based on cellular automata
X Rui, S Hui, X Yu, G Zhang, B Wu
Natural hazards 91 (1), 309-319, 2018
Large-scale, fine-grained, spatial, and temporal analysis, and prediction of mobile phone users’ distributions based upon a convolution long short-term model
G Zhang, X Rui, S Poslad, X Song, Y Fan, Z Ma
Sensors 19 (9), 2156, 2019
A framework to predict high-resolution spatiotemporal PM2. 5 distributions using a deep-learning model: A case study of Shijiazhuang, China
G Zhang, H Lu, J Dong, S Poslad, R Li, X Zhang, X Rui
Remote Sensing 12 (17), 2825, 2020
A method for the estimation of finely-grained temporal spatial human population density distributions based on cell phone call detail records
G Zhang, X Rui, S Poslad, X Song, Y Fan, B Wu
Remote Sensing 12 (16), 2572, 2020
A better way to monitor haze through image based upon the adjusted LeNet-5 CNN model
Y Fan, X Rui, S Poslad, G Zhang, T Yu, X Xu, X Song
Signal, Image and Video Processing, 1-9, 2019
Estimation of global horizontal irradiance in China using a deep learning method
W Xing, G Zhang, S Poslad
International Journal of Remote Sensing 42 (10), 3899-3917, 2021
The Prediction of Finely-Grained Spatiotemporal Relative Human Population Density Distributions in China
Z Zheng, G Zhang
IEEE Access 8, 181534-181546, 2020
smartphone-based activity recognition and multi-sensor fusion based indoor positioning system
B Wu, C Ma, S Poslad, RD David, W Wu, X Zhang, G Zhang, Z Ma
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