Hamed Karimian (Ph.D.)
Hamed Karimian (Ph.D.)
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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
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
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
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
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
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
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
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
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
Assessing urban sustainable development in Isfahan
H Karimian, Q Li, HF Chen
Applied Mechanics and Materials 253, 244-248, 2013
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
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
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
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
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
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
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
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
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
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
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