215 citations to 10.1109/ACCESS.2019.2921578 (Crossref Cited-By Service)
  1. Chi-Yeh Lin, Yue-Shan Chang, Satheesh Abimannan, “Ensemble multifeatured deep learning models for air quality forecasting”, Atmospheric Pollution Research, 12, no. 5, 2021, 101045  crossref
  2. Madhuri Vikas Mane, Deepak Kumar, Kamal Agarwal, 2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), 2022, 145  crossref
  3. Debasrita Chakraborty, Debayan Goswami, Susmita Ghosh, Ashish Ghosh, Jonathan H. Chan, Lipo Wang, “Transfer-recursive-ensemble learning for multi-day COVID-19 prediction in India using recurrent neural networks”, Sci Rep, 13, no. 1, 2023, 6795  crossref
  4. Ao Dun, Yuning Yang, Fei Lei, Hammad Afzal, “A Novel Hybrid Model Based on Spatiotemporal Correlation for Air Quality Prediction”, Mobile Information Systems, 2022, 2022, 1  crossref
  5. İpek Aksangür, Beytullah Eren, Caner Erden, “Evaluation of data preprocessing and feature selection process for prediction of hourly PM10 concentration using long short-term memory models”, Environmental Pollution, 311, 2022, 119973  crossref
  6. Yurui Li, Mingjing Du, Sheng He, “Attention-Based Sequence-to-Sequence Model for Time Series Imputation”, Entropy, 24, no. 12, 2022, 1798  crossref
  7. Jiaxuan Wang, Muyan Yao, Ruipeng Gao, Dan Tao, 2022 18th International Conference on Mobility, Sensing and Networking (MSN), 2022, 68  crossref
  8. K. Krishna Rani Samal, Korra Sathya Babu, Abhirup Acharya, Santos Kumar Das, 2020 IEEE 17th India Council International Conference (INDICON), 2020, 1  crossref
  9. Pritthijit Nath, Pratik Saha, Asif Iqbal Middya, Sarbani Roy, “Long-term time-series pollution forecast using statistical and deep learning methods”, Neural Comput & Applic, 33, no. 19, 2021, 12551  crossref
  10. Andrés M. Alonso, Francisco J. Nogales, Carlos Ruiz, “A Single Scalable LSTM Model for Short-Term Forecasting of Massive Electricity Time Series”, Energies, 13, no. 20, 2020, 5328  crossref
Previous
1
6
7
8
9
10
11
12
22
Next