Mathematical and machine learning models for groundwater level changes: a systematic review and bibliographic analysis

HIGHLIGHTS

  • who: Stephen Afrifa and collaborators from the Department of Information and Communication Engineering, Tianjin University, Tianjin, China have published the research: Mathematical and Machine Learning Models for Groundwater Level Changes: A Systematic Review and Bibliographic Analysis, in the Journal: Future Internet 2022, 14, x FOR PEER REVIEW of 15/05/2022
  • what: The aim of this study is to offer a thorough evaluation of existing research on the application of machine_learning, as well as mathematical and statistical methodologies, for modeling and forecasting groundwater resources. By conducting a detailed analysis of the gathered data in a . . .

     

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