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| An interpretable deep forest model for estimating hourly PM10 concentration in China using Himawari-8 data 期刊论文
ATMOSPHERIC ENVIRONMENT, 2022, 卷号: 268
作者: Chen B.; Song Z.; Shi B.; Li M.
  收藏 | 浏览/下载：43/0 | 提交时间：2022/01/18
AOD Dust transport Himawari-8 Machine learning PM10 |
| DecSolNet: A noise resistant missing information recovery framework for daily satellite NO2 columns 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 246
作者: Zhu S.; Xu J.; Yu C.; Wang Y.; Efremenko D.S.; Li X.; Sui Z.
收藏 | 浏览/下载：25/0 | 提交时间：2022/01/18
Data reconstruction Deep learning EMD NO2 columns Remote sensing Time series decomposition |
| Real-time hourly ozone prediction system for Yangtze River Delta area using attention based on a sequence to sequence model 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 244
作者: Jia P.; Cao N.; Yang S.
收藏 | 浏览/下载：27/0 | 提交时间：2022/01/18
Air quality model Attention Ozone prediction Sequence to sequence deep learning Yangtze river delta |
| Mixture analyses of air-sampled pollen extracts can accurately differentiate pollen taxa 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 243
作者: Klimczak L.J.; Ebner von Eschenbach C.; Thompson P.M.; Buters J.T.M.; Mueller G.A.
收藏 | 浏览/下载：25/0 | 提交时间：2022/01/18
Aerobiology Exposure Metabolomics Mixtures NMR Pollen |
| A long short-term memory approach to predicting air quality based on social media data 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 237
作者: Zhai W.; Cheng C.
收藏 | 浏览/下载：25/0 | 提交时间：2022/01/18
2015 China Victory day parade Air quality prediction LSTM Social media |
| Hybridized neural fuzzy ensembles for dust source modeling and prediction 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 224
作者: Rahmati O.; Panahi M.; Ghiasi S.S.; Deo R.C.; Tiefenbacher J.P.; Pradhan B.; Jahani A.; Goshtasb H.; Kornejady A.; Shahabi H.; Shirzadi A.; Khosravi H.; Moghaddam D.D.; Mohtashamian M.; Tien Bui D.
收藏 | 浏览/下载：20/0 | 提交时间：2022/01/18
Dust Ensemble Environmental modeling Iran Neural fuzzy |
| A novel framework for daily forecasting of ozone mass concentrations based on cycle reservoir with regular jumps neural networks 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 220
作者: Mo Y.; Li Q.; Karimian H.; Fang S.; Tang B.; Chen G.; Sachdeva S.
收藏 | 浏览/下载：23/0 | 提交时间：2022/01/18
Air pollution Deep neural networks Machine learning Ozone Prediction Recurrent neural networks |
