研究论文
A novel deep learning model integrating CNN and GRU to predict particulate matter concentrations
Zhuoyue Guo, Canyun Yang, Dongsheng Wang, Hongbin Liu
Nanjing Forestry University Nanjing University of Posts and Telecommunications Guangxi University
来源Process Safety and Environmental Protection
年份2023
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学术脉络
学科主题
物理Air Quality Monitoring and Forecasting
Advanced Chemical Sensor Technologies · Air Quality and Health Impacts
参考文献 47
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被引 422Shinichi Nakagawa, Robert P. Freckleton · Trends in Ecology & Evolution · 2008
Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics
被引 937Anne‐Laure Boulesteix, Silke Janitza, Jochen Kruppa · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · 2012
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引用本文 167
Comparative Analysis of Multiple Deep Learning Models for Forecasting Monthly Ambient PM2.5 Concentrations: A Case Study in Dezhou City, China
被引 142Zhenfang He, Qingchun Guo · Atmosphere · 2024
Prediction of monthly average and extreme atmospheric temperatures in Zhengzhou based on artificial neural network and deep learning models
被引 141Qingchun Guo, Zhenfang He, Zhaosheng Wang · Frontiers in Forests and Global Change · 2023
Android malware detection and identification frameworks by leveraging the machine and deep learning techniques: A comprehensive review
被引 87Santosh K. Smmarwar, Govind P. Gupta, Sanjay Kumar · Telematics and Informatics Reports · 2024
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