215 citations to 10.1109/ACCESS.2019.2921578 (Crossref Cited-By Service)
  1. Azim Heydari, Meysam Majidi Nezhad, Davide Astiaso Garcia, Farshid Keynia, Livio De Santoli, “Air pollution forecasting application based on deep learning model and optimization algorithm”, Clean Techn Environ Policy, 24, no. 2, 2022, 607  crossref
  2. Narathep Phruksahiran, “Improvement of air quality index prediction using geographically weighted predictor methodology”, Urban Climate, 38, 2021, 100890  crossref
  3. Raniyah Wazirali, Rami Ahmad, “Gaussian Support Vector Machine Algorithm Based Air Pollution Prediction”, Computers, Materials & Continua, 71, no. 1, 2022, 683  crossref
  4. Zhen Zhang, Shiqing Zhang, Caimei Chen, Jiwei Yuan, “A systematic survey of air quality prediction based on deep learning”, Alexandria Engineering Journal, 93, 2024, 128  crossref
  5. Esther Rodrigo Bonet, Tien Huu Do, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis, “Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference”, IEEE Trans. on Signal and Inf. Process. over Networks, 8, 2022, 499  crossref
  6. Choujun Zhan, Wei Jiang, Qiaoling Zhen, Haoran Hu, Wei Yuan, 1449, Neural Computing for Advanced Applications, 2021, 717  crossref
  7. Aditya Dhole, Ishan Ambekar, Gaurav Gunjan, Shilpa Sonawani, 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), 2021, 70  crossref
  8. Yuanlin Gu, Baihua Li, Qinggang Meng, “Hybrid interpretable predictive machine learning model for air pollution prediction”, Neurocomputing, 468, 2022, 123  crossref
  9. Vineet Singh, Kamlesh Kumar Singh, Sarvpal Singh, “A Secure and Energy-efficient Framework for Air Quality Prediction Using Smart Sensors and ISHO-DCNN”, SWCC, 13, no. 3, 2023, 131  crossref
  10. Fang Liu, Ranran Li, Aliona Dreglea, “Wind Speed and Power Ultra Short-Term Robust Forecasting Based on Takagi–Sugeno Fuzzy Model”, Energies, 12, no. 18, 2019, 3551  crossref
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