Artificial intelligence-based single and hybrid models for prediction of water quality in rivers: A review
The need for accurate predictions of water quality in rivers has encouraged researchers to
develop new methods and to improve the predictive ability of conventional models. In recent …
develop new methods and to improve the predictive ability of conventional models. In recent …
Applications of hybrid wavelet–artificial intelligence models in hydrology: a review
Accurate and reliable water resources planning and management to ensure sustainable use
of watershed resources cannot be achieved without precise and reliable models …
of watershed resources cannot be achieved without precise and reliable models …
A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset
RC Deo, X Wen, F Qi - Applied Energy, 2016 - Elsevier
A solar radiation forecasting model can be utilized is a scientific contrivance for investigating
future viability of solar energy potentials. In this paper, a wavelet-coupled support vector …
future viability of solar energy potentials. In this paper, a wavelet-coupled support vector …
[BUKU][B] The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance
PS Addison - 2017 - taylorfrancis.com
This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …
Applications in Science, Engineering, Medicine and Finance has been fully updated and …
Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks
Researchers around the world are applying various prediction models for COVID-19 to
make informed decisions and impose appropriate control measures. Because of a high …
make informed decisions and impose appropriate control measures. Because of a high …
Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model
A drought forecasting model is a practical tool for drought-risk management. Drought models
are used to forecast drought indices (DIs) that quantify drought by its onset, termination, and …
are used to forecast drought indices (DIs) that quantify drought by its onset, termination, and …
[HTML][HTML] Multi-steps drought forecasting in arid and humid climate environments: Development of integrative machine learning model
In the current study, the Standardized Precipitation Evaporation Index (SPEI) was forecasted
using a combination of the empirical wavelet transform (EWT), discrete wavelet transforms …
using a combination of the empirical wavelet transform (EWT), discrete wavelet transforms …
Past, present and prospect of an Artificial Intelligence (AI) based model for sediment transport prediction
An accurate model for sediment prediction is a priority for all hydrological researchers. Many
conventional methods have shown an inability to achieve an accurate prediction of …
conventional methods have shown an inability to achieve an accurate prediction of …
Environmental performance evaluation of suppliers: A hybrid fuzzy multi-criteria decision approach
Increasing environmental problems enforce companies to be more environmental
responsible. A company's environmental performance is not only related to the company's …
responsible. A company's environmental performance is not only related to the company's …
Streamflow prediction using linear genetic programming in comparison with a neuro-wavelet technique
Accurate prediction of streamflow is an essential ingredient for both water quantity and
quality management. In recent years, artificial intelligence (AI) techniques have been …
quality management. In recent years, artificial intelligence (AI) techniques have been …