Wavelet Transform Method for Synthetic Generation of Daily Streamflow

By Wensheng Wang, Shi Hu, Yueqing Li. 2011

52 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/10b29f20059f7302086109d277566ddbe47ed8e7

How researchers see this paper

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

In Computer Vision and Pattern Recognition

1. Jan Adamowski
2. Vahid Nourani
3. Ozgur Kisi

In Environmental Engineering

1. Jan Adamowski
2. A. H. Baghanam
3. Vahid Nourani
4. Ozgur Kisi
5. Kwok-Wing Chau
6. Masoud Karbasi
7. Ravinesh C. Deo
8. Mukesh Tiwari

In Global and Planetary Change

1. A. H. Baghanam
2. Vahid Nourani
3. Jan Adamowski
4. Ozgur Kisi
5. Masoud Karbasi
6. Hossein Bonakdari
7. Anurag Malik
8. Babak Mohammadi

Citations in the corpus

• Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review (2014, methodology): “Regarding the advantages of the developed method, Wang et al. (2011b) indicated that: (1) the approach is nonparametric; (2) it is able to avoid assumptions of probability distribution types (Normal or Pearson Type III) and of dependence structure (linear or non-linear); (3) it is not sensitive to…”