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 | 25 | 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 | 12 | 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 | 7 | 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 | 3 | 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 | 3 | 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 | 2 | 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 | | 2021 |
The Prediction of Finely-Grained Spatiotemporal Relative Human Population Density Distributions in China Z Zheng, G Zhang IEEE Access 8, 181534-181546, 2020 | | 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 | | 2019 |