236 citations to 10.1109/ACCESS.2019.2921578 (Crossref Cited-By Service)
  1. K. Krishna Rani Samal, 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC), 2024, 1  crossref
  2. Edgar F. Ladeira, Bruno M. C. Silva, “A Machine Learning-Based Platform for Monitoring and Prediction of Hazardous Gases in Rural and Remote Areas”, IEEE Access, 13, 2025, 20297  crossref
  3. Ming Wei, Xiaopeng Du, “Apply a deep learning hybrid model optimized by an Improved Chimp Optimization Algorithm in PM2.5 prediction”, Machine Learning with Applications, 19, 2025, 100624  crossref
  4. Ruiting Mao, Jeong Eun Lee, Matthew C. Edwards, “Novel stacked hybrid autoencoder for imputing LISA data gaps”, Phys. Rev. D, 111, no. 2, 2025, 024067  crossref
  5. Md Khalid Hossen, Yan-Tsung Peng, Meng Chang Chen, Kristofer Lasko, “Enhancing PM2.5 prediction by mitigating annual data drift using wrapped loss and neural networks”, PLoS ONE, 20, no. 2, 2025, e0314327  crossref
  6. Somayeh Mirzaei, Ting Lun Liao, Chin-Yu Hsu, “Modeling PM2.5 urbane pollution using hybrid models incorporating decomposition and multiple factors”, Urban Climate, 60, 2025, 102338  crossref
  7. José Eduardo Pachano, Cristina Nuevo-Gallardo, Carlos Fernández Bandera, “An empirical comparison of a calibrated white-box versus multiple LSTM black-box building energy models”, Energy and Buildings, 333, 2025, 115485  crossref
  8. Lorenzo Garbagna, Lakshmi Babu Saheer, Mahdi Maktab Dar Oghaz, “AI-driven approaches for air pollution modeling: A comprehensive systematic review”, Environmental Pollution, 2025, 125937  crossref
  9. Liam J. Berrisford, Lucy S. Neal, Helen J. Buttery, Benjamin R. Evans, Ronaldo Menezes, “A framework for scalable ambient air pollution concentration estimation”, Environ. Data Science, 4, 2025, e17  crossref
  10. Phuong Nguyen Thanh, “AIoT-based Indoor Air Quality Prediction for Building Using Enhanced Metaheuristic Algorithm and Hybrid Deep Learning”, Journal of Building Engineering, 2025, 112448  crossref
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