215 citations to 10.1109/ACCESS.2019.2921578 (Crossref Cited-By Service)
  1. Manjit Kaur, Dilbag Singh, Mohamed Yaseen Jabarulla, Vijay Kumar, Jusung Kang, Heung-No Lee, “Computational deep air quality prediction techniques: a systematic review”, Artif Intell Rev, 56, no. S2, 2023, 2053  crossref
  2. Yuanxin Zhang, Fei Li, Chaoqiong Ni, Song Gao, Shuwei Zhang, Jin Xue, Zhukai Ning, Chuanming Wei, Fang Fang, Yongyou Nie, Zheng Jiao, “Prediction and cause investigation of ozone based on a double-stage attention mechanism recurrent neural network”, Front. Environ. Sci. Eng., 17, no. 2, 2023, 21  crossref
  3. Debashree Dutta, Sankar K. Pal, “Prediction and assessment of the impact of COVID-19 lockdown on air quality over Kolkata: a deep transfer learning approach”, Environ Monit Assess, 195, no. 1, 2023, 223  crossref
  4. Ismail Essamlali, Hasna Nhaila, Mohamed El Khaili, “Supervised Machine Learning Approaches for Predicting Key Pollutants and for the Sustainable Enhancement of Urban Air Quality: A Systematic Review”, Sustainability, 16, no. 3, 2024, 976  crossref
  5. Guoyan Huang, Xinyi Li, Bing Zhang, Jiadong Ren, “PM2.5 concentration forecasting at surface monitoring sites using GRU neural network based on empirical mode decomposition”, Science of The Total Environment, 768, 2021, 144516  crossref
  6. Abdullah Kaviani Rad, Redmond R. Shamshiri, Armin Naghipour, Seraj-Odeen Razmi, Mohsen Shariati, Foroogh Golkar, Siva K. Balasundram, “Machine Learning for Determining Interactions between Air Pollutants and Environmental Parameters in Three Cities of Iran”, Sustainability, 14, no. 13, 2022, 8027  crossref
  7. Guangyao Zhang, Xin Gao, Lei Wang, Bing Xue, Shiyuan Fu, Jiahao Yu, Zijian Huang, Xu Huang, “Probabilistic autoencoder with multi-scale feature extraction for multivariate time series anomaly detection”, Appl Intell, 53, no. 12, 2023, 15855  crossref
  8. Vasilis Papastefanopoulos, Pantelis Linardatos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, “Multivariate Time-Series Forecasting: A Review of Deep Learning Methods in Internet of Things Applications to Smart Cities”, Smart Cities, 6, no. 5, 2023, 2519  crossref
  9. D. Narasimhan, M. Vanitha, Reshaping Environmental Science Through Machine Learning and IoT, 2024, 311  crossref
  10. Maryna Batur, Kateryna Babii, “The performance analysis of deep learning algorithms for modelling and forecasting the particulate matter (PM10) in the eastern part of Turkey”, IOP Conf. Ser.: Earth Environ. Sci., 1348, no. 1, 2024, 012046  crossref
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