215 citations to 10.1109/ACCESS.2019.2921578 (Crossref Cited-By Service)
  1. Seona Song, Seongjin Bang, Soyoung Cho, Hyungseok Han, Sangmin Lee, “Attentive Multi-Task Prediction of Atmospheric Particulate Matter: Effect of the COVID-19 Pandemic”, IEEE Access, 10, 2022, 10176  crossref
  2. Asif Iqbal Middya, Sarbani Roy, “Pollutant specific optimal deep learning and statistical model building for air quality forecasting”, Environmental Pollution, 301, 2022, 118972  crossref
  3. Abdellatif Bekkar, Badr Hssina, Samira Douzi, Khadija Douzi, “Air-pollution prediction in smart city, deep learning approach”, J Big Data, 8, no. 1, 2021, 161  crossref
  4. Yanan Lu, Kun Li, “Multistation collaborative prediction of air pollutants based on the CNN-BiLSTM model”, Environ Sci Pollut Res, 30, no. 40, 2023, 92417  crossref
  5. Yi-Chung Chen, Tsu-Chiang Lei, Shun Yao, Hsin-Ping Wang, “PM2.5 Prediction Model Based on Combinational Hammerstein Recurrent Neural Networks”, Mathematics, 8, no. 12, 2020, 2178  crossref
  6. Bozhi Yao, Guang Ling, Feng Liu, Ming-Feng Ge, “Multi-source variational mode transfer learning for enhanced PM2.5 concentration forecasting at data-limited monitoring stations”, Expert Systems with Applications, 238, 2024, 121714  crossref
  7. Huda Febrianto Nurrohman, Dian Candra Rini Novitasari, Fajar Setiawan, Rochimah, Amal Taufiq, Abdulloh Hamid, 2022 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), 2022, 191  crossref
  8. Hao Cai, Chen Zhang, Jianlong Xu, Fei Wang, Lianghong Xiao, Shanxing Huang, Yufeng Zhang, “Water Quality Prediction Based on the KF-LSTM Encoder-Decoder Network: A Case Study with Missing Data Collection”, Water, 15, no. 14, 2023, 2542  crossref
  9. Siting Chen, Yi Song, Yunchuan Li, Hongjun Wang, 2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2023, 204  crossref
  10. Hongfeng Xu, Lei Chai, Zhiming Luo, Shaozi Li, “Stock movement prediction via gated recurrent unit network based on reinforcement learning with incorporated attention mechanisms”, Neurocomputing, 467, 2022, 214  crossref
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