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Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm

  • Masoud Karbasi*
  • , Mumtaz Ali
  • , Sayed M. Bateni
  • , Changhyun Jun
  • , Mehdi Jamei
  • , Aitazaz Ahsan Farooque
  • , Zaher Mundher Yaseen
    • *Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

24 Scopus citations

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