Comparative Analysis of LSTM and Random Forest Algorithms for Streamflow Prediction: A Case Study of Diverse River Basins in the United States Article

Shanko, Alemayehu Dula, Melesse, Assefa. (2026). Comparative Analysis of LSTM and Random Forest Algorithms for Streamflow Prediction: A Case Study of Diverse River Basins in the United States . WATER, 18(14), 1768. 10.3390/w18141768

cited authors

  • Shanko, Alemayehu Dula; Melesse, Assefa

authors

publication date

  • July 22, 2026

published in

keywords

  • 37 Earth Sciences
  • 3701 Atmospheric Sciences
  • 3707 Hydrology
  • Bioengineering
  • Machine Learning and Artificial Intelligence
  • Networking and Information Technology R&D (NITRD)

Digital Object Identifier (DOI)

publisher

  • MDPI

start page

  • 1768

volume

  • 18

issue

  • 14