Tree-based machine learning algorithms in the Internet of Things environment for multivariate flood status prediction

Tree-based machine learning algorithms in the Internet of Things environment for multivariate flood status prediction

Floods are one of the most common natural disasters in the world that affect all aspects of life, including human beings, agriculture, industry, and education. Research for developing models of flood predictions has been ongoing for the past few years. These models are proposed and built-in proporti...

Full description

Bibliographic Details
Main Authors: Aswad Firas Mohammed, Kareem Ali Noori, Khudhur Ahmed Mahmood, Khalaf Bashar Ahmed, Mostafa Salama A.
Format: Article
Language:English
Published: De Gruyter 2021-11-01
Series:Journal of Intelligent Systems
Subjects:
flood prediction
internet of things
multivariate classification
machine learning
explainable artificial intelligence
Online Access:https://doi.org/10.1515/jisys-2021-0179

Internet

https://doi.org/10.1515/jisys-2021-0179

Similar Items