机构

• 地理科学与资源研究所 [7]
• 生态环境研究中心 [2]
• 地球环境研究所 [1]

采集方式

• OAI收割 [10]

内容类型

• 期刊论文 [10]

发表日期

• 2022 [1]
• 2021 [3]
• 2020 [5]
• 2018 [1]

学科主题

筛选

浏览/检索结果: 共10条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 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   Roadside vehicle particulate matter concentration estimation using artificial neural network model in Addis Ababa, Ethiopia 期刊论文  OAI收割 JOURNAL OF ENVIRONMENTAL SCIENCES, 2021, 卷号: 101, 页码: 428-439 作者:  Jida, Solomon Neway;  Hetet, Jean-Francois;  Chesse, Pascal;  Guadie, Awoke   |  收藏  |  浏览/下载：8/0  |  提交时间：2021/12/23 Addis Ababa  Artificial neural network  PM prediction  Roadside emission   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;  Lu, Haiyue;  Dong, Jin;  Poslad, Stefan;  Li, Runkui   |  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