中国科学院机构知识库网格系统: 检索

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	Data-Driven Machine Learning in Environmental Pollution: Gains and Problems 期刊论文 OAI收割 ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2022, 卷号: 56, 期号: 4, 页码: 2124-2133 作者: Liu, Xian; Lu, Dawei; Zhang, Aiqian; Liu, Qian; Jiang, Guibin \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2022/11/08 WATER TREATMENT PLANTS PM2.5 CONCENTRATIONS N2O EMISSIONS BIG DATA MULTIVARIATE REGRESSION PREDICTION
	Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation 期刊论文 OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4217-4230 作者: Li, Lianfa; Fang, Ying; Wu, Jun; Wang, Jinfeng; Ge, Yong \| 收藏 \| 浏览/下载：71/0 \| 提交时间：2021/11/05 Bias deep learning encoder-decoder full residual deep network non-linear regression prediction of satellite aerosol optical depth (AOD) and PM2.5 spatiotemporal modeling
	Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation 期刊论文 OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4217-4230 作者: Li, Lianfa; Fang, Ying; Wu, Jun; Wang, Jinfeng; Ge, Yong \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2021/11/05 Bias deep learning encoder-decoder full residual deep network non-linear regression prediction of satellite aerosol optical depth (AOD) and PM2.5 spatiotemporal modeling
	A PM2.5 concentration prediction model based on multi-task deep learning for intensive air quality monitoring stations 期刊论文 OAI收割 JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 275, 页码: 13 作者: Zhang, Qiang; Wu, Shun; Wang, Xiangwen; Sun, Binzhen; Liu, Haimeng \| 收藏 \| 浏览/下载：43/0 \| 提交时间：2021/03/16 PM(2.5)prediction Multi-task deep learning Artificial intelligence Intensive monitoring stations Lanzhou city
	A PM2.5 concentration prediction model based on multi-task deep learning for intensive air quality monitoring stations 期刊论文 OAI收割 JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 275, 页码: 13 作者: Zhang, Qiang; Wu, Shun; Wang, Xiangwen; Sun, Binzhen; Liu, Haimeng \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2021/03/16 PM(2.5)prediction Multi-task deep learning Artificial intelligence Intensive monitoring stations Lanzhou city
	A Framework to Predict High-Resolution Spatiotemporal PM(2.5)Distributions Using a Deep-Learning Model: A Case Study of Shijiazhuang, China 期刊论文 OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 17, 页码: 33 作者: Zhang, Guangyuan \| 收藏 \| 浏览/下载：28/0 \| 提交时间：2021/03/16 PM2.5 AOD XGBoost prediction deep learning ConvLSTM SARIMA
	A New Deep Learning Algorithm for Detecting the Lag Effect of Fine Particles on Hospital Emergency Visits for Respiratory Diseases 期刊论文 OAI收割 IEEE ACCESS, 2020, 卷号: 8, 页码: 145593-145600 作者: Lu, Jiaying; Bu, Pengju; Xia, Xiaolin; Yao, Ling; Zhang, Zhixin \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2021/03/18 Fine particles (PM2.5) respiratory diseases prediction lag distribution effect distributed lag non-linear model (DLNM) long short-term memory (LSTM)
	A New Deep Learning Algorithm for Detecting the Lag Effect of Fine Particles on Hospital Emergency Visits for Respiratory Diseases 期刊论文 OAI收割 IEEE ACCESS, 2020, 卷号: 8, 页码: 145593-145600 作者: Lu, Jiaying; Bu, Pengju; Xia, Xiaolin; Yao, Ling; Zhang, Zhixin \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2021/03/18 Fine particles (PM2.5) respiratory diseases prediction lag distribution effect distributed lag non-linear model (DLNM) long short-term memory (LSTM)
	Estimation of residential fine particulate matter infiltration inShanghai, China 期刊论文 OAI收割 Environmental Pollution, 2018, 卷号: 233, 期号: 2018, 页码: 494-500 作者: Li,HC(Li,Huichu); Yang,CY(Yang,Changyuan); Zhao, A(Zhao,Ang); Wang, CC(Wang, Cuicui); Chen, RJ(Chen, Renjie) \| 收藏 \| 浏览/下载：66/0 \| 提交时间：2018/09/28 Pm2.5 Exposure Infiltration Factor Model Prediction Seasonal Variation