Predicting PM10 Concentrations Using Evolutionary Deep Neural Network and Satellite-Derived Aerosol Optical Depth
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- Wan Yun Hong & David Koh & Liya E. Yu, 2022. "Development and Evaluation of Statistical Models Based on Machine Learning Techniques for Estimating Particulate Matter (PM 2.5 and PM 10 ) Concentrations," IJERPH, MDPI, vol. 19(13), pages 1-32, June.
- Kaveh, Mehrdad & Mesgari, Mohammad Saadi & Saeidian, Bahram, 2023. "Orchard Algorithm (OA): A new meta-heuristic algorithm for solving discrete and continuous optimization problems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 208(C), pages 95-135.
- Mengjie Wang & Yanjun Wang & Fei Teng & Shaochun Li & Yunhao Lin & Hengfan Cai, 2022. "Estimation and Analysis of PM 2.5 Concentrations with NPP-VIIRS Nighttime Light Images: A Case Study in the Chang-Zhu-Tan Urban Agglomeration of China," IJERPH, MDPI, vol. 19(7), pages 1-18, April.
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Keywords
PM10; air pollution; remote sensing; aerosol optical depth; deep neural network; novel binary gray wolf optimizer;All these keywords.
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