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Hamed Karimian (Ph.D.)
Hamed Karimian (Ph.D.)
在 pku.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
A hybrid model for spatiotemporal forecasting of PM2. 5 based on graph convolutional neural network and long short-term memory
Y Qi, Q Li, H Karimian, D Liu
Science of the Total Environment 664, 1-10, 2019
4432019
A spatiotemporal prediction framework for air pollution based on deep RNN
J Fan, Q Li, J Hou, X Feng, H Karimian, S Lin
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2017
1942017
Evaluation of Different Machine Learning Approaches to Forecasting PM2.5 Mass Concentrations
H Karimian, Q Li, C Wu, Y Qi, Y Mo, G Chen, X Zhang, S Sachdeva
Aerosol and Air Quality Research 19 (6), 1400-1410, 2019
1402019
Landscape ecological risk assessment and driving factor analysis in Dongjiang river watershed
H Karimian, W Zou, Y Chen, J Xia, Z Wang
Chemosphere 307, 2022
782022
Spatio-temporal variation of ozone pollution risk and its influencing factors in China based on Geodetector and Geospatial models
Y Chen, H Li, H Karimian*, M Li, Q Fan, Z Xu
Chemosphere, 134843, 2022
522022
An improved method for monitoring fine particulate matter mass concentrations via satellite remote sensing
H Karimian, Q Li, C Li, L Jin, J Fan, Y Li
Aerosol and Air Quality Research 16 (4), 1081-1092, 2016
45*2016
Spatio‑temporal distribution characteristics and influencing factors of COVID‑19 in China
Y Chen*, Q Li, H Karimian*, X Chen, X Li
Scientific Reports 11, 2021
442021
A novel framework for daily forecasting of ozone mass concentrations based on cycle reservoir with regular jumps neural networks
Y Mo, Q Li, H Karimian, S Fang, B Tang, G Chen, S Sachdeva
Atmospheric environment 220, 117072, 2020
382020
Evaluation of different machine learning approaches and aerosol optical depth in PM2. 5 prediction
H Karimian, Y Li, Y Chen, Z Wang
Environmental Research 216, 114465, 2023
282023
Daily spatiotemporal prediction of surface ozone at the national level in China: an improvement of CAMS ozone product
Y Mo, Q Li, H Karimian, S Zhang, X Kong, S Fang, B Tang
Atmospheric Pollution Research 12 (1), 391-402, 2021
262021
DESA: a novel hybrid decomposing‑ensemble and spatiotemporal attention model for PM2.5 forecasting
S Fang, Q Li, H Karimian*, H Liu, Y Mo
Environmental Science and Pollution Research, 2022
222022
PM2. 5 concentration prediction using convolutional neural networks
C Wu, Q Li, J Hou, H Karimian, G Chen
Sci. Surv. Mapp 43, 68-75, 2018
222018
Assessing urban sustainable development in Isfahan
H Karimian, Q Li, HF Chen
Applied Mechanics and Materials 253, 244-248, 2013
222013
A novel framework for prediction of dam deformation based on extreme learning machine and Lévy flight bat algorithm
Y Chen, X Zhang, H Karimian, G Xiao, J Huang
Journal of Hydroinformatics 23 (5), 935-949, 2021
202021
Henan Ecological Security Evaluation Using Improved 3D Ecological Footprint Model Based on Emergy and Net Primary Productivity
C Gong, L Qi, P Fei, H Karimian, T , Boyuan
sustainability 11, 2019
202019
Spatio-temporal variation of wind influence on distribution of fine particulate matter and its precursor gases
H Karimian, Q Li, C Li, G Chen, Y Mo, C Wu, J Fan
Atmospheric Pollution Research 10 (1), 53-64, 2019
202019
Daily estimation of fine particulate matter mass concentration through satellite based aerosol optical depth
H Karimian, Q Li, CC Li, J Fan, L Jin, C Gong, Y Mo, J Hou, A Ahmad
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2017
202017
Spatiotemporal analysis of air quality and its relationship with meteorological factors in the Yangtze River Delta.
Y Li, Y Chen, H Karimian, T Tian
Journal of Elementology 25, 1059-1075, 2020
172020
The relationship between air quality and MODIS aerosol optical depth in major cities of the Yangtze River Delta
Y Chen, D Li, H Karimian, S Wang, S Fang
Chemosphere 308, 136301, 2022
152022
Spatio-temporal simulation and analysis of regional ecological security based on LSTM
C Gong, L Qi, L Heming, H Karimian, M Yuqin
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2017
102017
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