Wavelet coupled MARS and M5 Model Tree approaches for groundwater level forecasting

By Mohammad Rezaie-Balf, Sujay Raghavendra Naganna, A. Ghaemi, Paresh Chandra Deka. 2017

133 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Environmental Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/a5b88f882c8f974bc570d2faa0138da129543fcd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Kwok-Wing Chau
2. Amir Mosavi

In Environmental Engineering

1. Amir Mosavi
2. Kwok-Wing Chau
3. S. M. Bateni
4. Saeed Samadianfard
5. Ozgur Kisi
6. Hossein Bonakdari
7. Isa Ebtehaj
8. U. Aksoy

In Water Science and Technology

1. Amir Mosavi
2. Kwok-Wing Chau
3. Ozgur Kisi
4. U. Aksoy
5. B. B. Ekici

Citations in the corpus

• Groundwater level prediction in arid areas using wavelet analysis and Gaussian process regression (2021, methodology): “Also recently Rezaie-balf et al. (2017) coupled WT with MARS and MT to increase the accuracy of GWL forecast.”