215 citations to 10.1109/ACCESS.2019.2921578 (Crossref Cited-By Service)
  1. Wei Jiang, Yuxia Fu, Fabing Lin, Jing Liu, Choujun Zhan, 1449, Neural Computing for Advanced Applications, 2021, 757  crossref
  2. Yu-Shun Mao, Shie-Jue Lee, Chih-Hung Wu, Chun-Liang Hou, Chen-Sen Ouyang, Chih-Feng Liu, “A hybrid deep learning network for forecasting air pollutant concentrations”, Appl Intell, 53, no. 10, 2023, 12792  crossref
  3. Jiayu Yang, Linchang Shi, Jaeyoung Lee, Ingon Ryu, “Spatiotemporal prediction of particulate matter concentration based on traffic and meteorological data”, Transportation Research Part D: Transport and Environment, 127, 2024, 104070  crossref
  4. Aysenur Gilik, Arif Selcuk Ogrenci, Atilla Ozmen, “Air quality prediction using CNN+LSTM-based hybrid deep learning architecture”, Environ Sci Pollut Res, 29, no. 8, 2022, 11920  crossref
  5. Ditsuhi Iskandaryan, Francisco Ramos, Sergio Trilles, “Features Exploration from Datasets Vision in Air Quality Prediction Domain”, Atmosphere, 12, no. 3, 2021, 312  crossref
  6. Srinivas Soumitri Miriyala, Ravikiran Inapakurthi, Kishalay Mitra, Statistical Modeling in Machine Learning, 2023, 307  crossref
  7. Afrah Naeem, Nadeem Javaid, Zeeshan Aslam, Muhammad Imran Nadeem, Kanwal Ahmed, Yazeed Yasin Ghadi, Tahani Jaser Alahmadi, Nivin A. Ghamry, Sayed M. Eldin, “A novel data balancing approach and a deep fractal network with light gradient boosting approach for theft detection in smart grids”, Heliyon, 9, no. 9, 2023, e18928  crossref
  8. Jun Yang, Jingbin Qu, Qiang Mi, Qing Li, “A CNN-LSTM Model for Tailings Dam Risk Prediction”, IEEE Access, 8, 2020, 206491  crossref
  9. Afrah Naeem, Zeeshan Aslam, Tamara Al Shloul, Aqdas Naz, Muhammad Imran Nadeem, Mosleh Hmoud Al-Adhaileh, Yazeed Yasin Ghadi, Heba G. Mohamed, “A Novel Combined DenseNet and Gated Recurrent Unit Approach to Detect Energy Thefts in Smart Grids”, IEEE Access, 11, 2023, 59496  crossref
  10. Ibrahim Demir, Zhongrun Xiang, Bekir Demiray, Muhammed Sit, “WaterBench-Iowa: a large-scale benchmark dataset for data-driven streamflow forecasting”, Earth Syst. Sci. Data, 14, no. 12, 2022, 5605  crossref
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