A Hybrid Spatiotemporal Deep Model Based on CNN and LSTM for Air Pollution Prediction
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- Pushpendu Ghosh & Ariel Neufeld & Jajati Keshari Sahoo, 2020. "Forecasting directional movements of stock prices for intraday trading using LSTM and random forests," Papers 2004.10178, arXiv.org, revised Jun 2021.
- Mojtaba Kadkhodazadeh & Saeed Farzin, 2021. "A Novel LSSVM Model Integrated with GBO Algorithm to Assessment of Water Quality Parameters," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(12), pages 3939-3968, September.
- Mojtaba Kadkhodazadeh & Mahdi Valikhan Anaraki & Amirreza Morshed-Bozorgdel & Saeed Farzin, 2022. "A New Methodology for Reference Evapotranspiration Prediction and Uncertainty Analysis under Climate Change Conditions Based on Machine Learning, Multi Criteria Decision Making and Monte Carlo Methods," Sustainability, MDPI, vol. 14(5), pages 1-37, February.
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- Seyd Teymoor Seydi & Reza Shah-Hosseini & Meisam Amani, 2022. "A Multi-Dimensional Deep Siamese Network for Land Cover Change Detection in Bi-Temporal Hyperspectral Imagery," Sustainability, MDPI, vol. 14(19), pages 1-17, October.
- Umer Khalil & Umar Azam & Bilal Aslam & Israr Ullah & Aqil Tariq & Qingting Li & Linlin Lu, 2022. "Developing a Spatiotemporal Model to Forecast Land Surface Temperature: A Way Forward for Better Town Planning," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
- Hao Zhou & Tao Wang & Hongchao Zhao & Zicheng Wang, 2022. "Updated Prediction of Air Quality Based on Kalman-Attention-LSTM Network," Sustainability, MDPI, vol. 15(1), pages 1-25, December.
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Keywords
air pollution; spatiotemporal model; CNN; LSTM; hyperparameter optimization; evolutionary algorithm; missing values imputation;All these keywords.
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