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Regression models for sediment transport in tropical rivers
(Springer, 2021-05)
The investigation of sediment transport in tropical rivers is essential for planning effective integrated river basin management to
predict the changes in rivers. The characteristics of rivers and sediment in the tropical ...
Iterative classifier optimizer-based pace regression and random forest hybrid models for suspended sediment load prediction
(Springer, 2021-03)
Suspended sediment load is a substantial portion of the total sediment load in rivers and plays a vital role in determination of the
service life of the downstream dam. To this end, estimation models are needed to compute ...
Multiple genetic programming: a new approach to improve genetic-based month ahead rainfall forecasts
(Environmental Monitoring and Assessment, 2020)
It is well documented that standalone machine learning methods are not suitable for rainfall forecasting in long lead-time horizons. The task is more difficult in arid and semiarid regions. Addressing these issues, the ...