215 citations to 10.1109/ACCESS.2019.2921578 (Crossref Cited-By Service)
  1. S. Gunasekar, G. Pius Agbulu, G. Joselin Retna Kumar, Raghavendra Reddy N V, Y Dileep Kumar, R. Ramesh Prasad, 2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), 2024, 1  crossref
  2. Mirna Elbestar, Sherif G. Aly, Rami Ghannam, “Advances in Air Quality Monitoring: A Comprehensive Review of Algorithms for Imaging and Sensing Technologies”, Advanced Sensor Research, 2024, 2300207  crossref
  3. Fareena Naz, Muhammad Fahim, Adnan Ahmad Cheema, Nguyen Trung Viet, Tuan-Vu Cao, Ruth Hunter, Trung Q. Duong, “Two-Stage Feature Engineering to Predict Air Pollutants in Urban Areas”, IEEE Access, 12, 2024, 114073  crossref
  4. Sooin Kim, Atefe Makhmalbaf, Mohsen Shahandashti, “Forecasting the architecture billings index (ABI) using machine learning predictive models”, ECAM, 2024  crossref
  5. Ramya Anasseriyil Viswambaran, Mohammad Nekooei, Gang Chen, Bing Xue, 2024 IEEE Congress on Evolutionary Computation (CEC), 2024, 1  crossref
  6. Fareena Naz, Muhammad Fahim, Adnan Ahmad Cheema, Nguyen Trung Viet, Tuan-Vu Cao, Trung Q. Duong, 595, Industrial Networks and Intelligent Systems, 2024, 204  crossref
  7. Chao Chen, Hui Liu, Chengming Yu, “Predicting long-term air pollutant concentrations through deep learning-based integration of heterogeneous urban data”, Atmospheric Pollution Research, 15, no. 11, 2024, 102282  crossref
  8. Chang-Jiang Zhang, Liu Zhang, Chen-Miao Rui, Lei-Ming Ma, Xiao-Qin Lu, “Tropical cyclone tracking from geostationary infrared satellite images using deep learning techniques”, International Journal of Remote Sensing, 45, no. 18, 2024, 6324  crossref
  9. Routhu Srinivasa Rao, Lakshmana Rao Kalabarige, M. Raviraja Holla, Aditya Kumar Sahu, “Multimodal Imputation-Based Multimodal Autoencoder Framework for AQI Classification and Prediction of Indian Cities”, IEEE Access, 12, 2024, 108350  crossref
  10. Sara Haghbayan, Mehdi Momeni, Behnam Tashayo, “A new attention-based CNN_GRU model for spatial–temporal PM2.5 prediction”, Environ Sci Pollut Res, 31, no. 40, 2024, 53140  crossref
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