Groundwater management based on time series and ensembles of machine learning

HIGHLIGHTS

• who: Khalaf Okab Alsalem et al. from the Department of Information Systems, College of Computer and Information Sciences, Jouf University, Sakakah, Saudi Arabia have published the Article: Groundwater Management Based on Time Series and Ensembles of Machine Learning, in the : Processes 2023, 761 of /2023/
• what: The authors used the and ensemble methods to propose a hybrid technique to enhance the multiclassification of quality. The authors used the GEOTHERM dataset and the authors pre-processed it by replacing the missing and null values solving the sparsity problem with the recommender system which was previously proposed . . .
  

   

  

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