机构

• 地理科学与资源研究... [18]
• 地球环境研究所 [12]
• 生态环境研究中心 [5]
• 广州生物医药与健康研... [2]
• 成都山地灾害与环境研... [1]
• 地质与地球物理研究所 [1]
• 更多

采集方式

• OAI收割 [45]

内容类型

• 期刊论文 [45]

发表日期

• 2025 [3]
• 2024 [4]
• 2023 [5]
• 2022 [7]
• 2021 [10]
• 2020 [2]
• 更多

学科主题

• Cell Biolo... [2]

筛选

浏览/检索结果: 共45条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Forecasting Daily Ambient PM2.5 Concentrations in Qingdao City Using Deep Learning and Hybrid Interpretable Models and Analysis of Driving Factors Using SHAP 期刊论文  OAI收割 TOXICS, 2025, 卷号: 14, 期号: 1, 页码: 44 作者:  He, Zhenfang;  Guo, Qingchun;  Zhang, Zuhan;  Feng, Genyue;  Qiao, Shuaisen   |  收藏  |  浏览/下载：3/0  |  提交时间：2026/03/16 deep learning  ANN  RNN  CNN  transformer  BiLSTM  SHAP  PM2.5   Spatiotemporal Trends and Drivers of PM2.5 Concentrations in Shandong Province from 2014 to 2023 Under Socioeconomic Transition 期刊论文  OAI收割 TOXICS, 2025, 卷号: 13, 期号: 11, 页码: 978 作者:  Qiao, Shuaisen;  Guo, Qingchun;  He, Zhenfang;  Feng, Genyue;  Wang, Zhaosheng   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/01/21 PM2.5  socioeconomic factors  meteorological factors  geodetector  air pollution  air temperature  wind speed  emissions   Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City 期刊论文  OAI收割 SCIENTIFIC REPORTS, 2025, 卷号: 15, 期号: 1, 页码: 6798 作者:  Guo, Qingchun;  He, Zhenfang;  Wang, Zhaosheng   |  收藏  |  浏览/下载：31/0  |  提交时间：2025/04/21 Artificial neural network  Long short-term memory  Deep Learning  Ozone   A Performance Comparison Study on Climate Prediction in Weifang City Using Different Deep Learning Models 期刊论文  OAI收割 WATER, 2024, 卷号: 16, 期号: 19, 页码: 20 作者:  Guo, Qingchun;  He, Zhenfang;  Wang, Zhaosheng;  Qiao, Shuaisen;  Zhu, Jingshu   |  收藏  |  浏览/下载：35/0  |  提交时间：2024/12/30 artificial intelligence  neural network  gate recurrent unit  long short-term memory  convolutional neural network  average atmospheric temperature  precipitation   A hierarchical downscaling scheme for generating fine-resolution leaf area index with multisource and multiscale observations via deep learning 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2024, 卷号: 133, 页码: 10 作者:  Jin, Huaan;  Qiao, Yuting;  Liu, Tian;  Xie, Xinyao;  Fang, Hongliang   |  收藏  |  浏览/下载：67/0  |  提交时间：2024/11/07 Leaf area index  Multiscale  Deep learning  Downscaling   A hierarchical downscaling scheme for generating fine-resolution leaf area index with multisource and multiscale observations via deep learning 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2024, 卷号: 133, 页码: 10 作者:  Jin, Huaan;  Qiao, Yuting;  Liu, Tian;  Xie, Xinyao;  Fang, Hongliang   |  收藏  |  浏览/下载：31/0  |  提交时间：2024/11/28 Leaf area index  Multiscale  Deep learning  Downscaling   The Characteristics of Air Quality Changes in Hohhot City in China and their Relationship with Meteorological and Socio-economic Factors 期刊论文  OAI收割 AEROSOL AND AIR QUALITY RESEARCH, 2024, 卷号: 24, 期号: 5, 页码: 14 作者:  Guo, Qingchun;  He, Zhenfang;  Wang, Zhaosheng   |  收藏  |  浏览/下载：241/0  |  提交时间：2024/07/24 Air quality  Meteorological factor  Socio-economic factor  PM 2.5  O 3   Prediction of monthly average and extreme atmospheric temperatures in Zhengzhou based on artificial neural network and deep learning models 期刊论文  OAI收割 FRONTIERS IN FORESTS AND GLOBAL CHANGE, 2023, 卷号: 6, 页码: 1249300 作者:  Guo, Qingchun;  He, Zhenfang;  Wang, Zhaosheng   |  收藏  |  浏览/下载：48/0  |  提交时间：2024/01/04 extreme atmospheric temperature  artificial neural network  deep learning  CNN-GRU  CNN-LSTM  prediction  training algorithm  forest   Learning ensembles of process-based models for high accurately evaluating the one-hundred-year carbon sink potential of China's forest ecosystem 期刊论文  OAI收割 HELIYON, 2023, 卷号: 9, 期号: 6, 页码: e17243 作者:  Wang, Zhaosheng;  Li, Renqiang;  Guo, Qingchun;  Wang, Zhaojun;  Huang, Mei   |  收藏  |  浏览/下载：62/0  |  提交时间：2023/09/07 Learning ensembles of process-based models  Random forest model  Forest ecosystem  Carbon sink potential   Prediction of Hourly PM2.5 and PM10 Concentrations in Chongqing City in China Based on Artificial Neural Network 期刊论文  OAI收割 AEROSOL AND AIR QUALITY RESEARCH, 2023, 卷号: 23, 期号: 6, 页码: 11 作者:  Guo, Qingchun;  He, Zhenfang;  Wang, Zhaosheng   |  收藏  |  浏览/下载：32/0  |  提交时间：2023/10/09 Air pollution  Artificial neural network  Meteorological element  Predict  PM 2  5  PM 10  Chongqing  Training function