4.7 Editorial Material

Closure to the discussion of Ebtehaj et al. on Comparative assessment of time series and artificial intelligence models to estimate monthly streamflow: A local and external data analysis approach

Related references

Note: Only part of the references are listed.
Article Engineering, Environmental

Rainfall forecasting in upper Indus basin using various artificial intelligence techniques

Muhammad Hammad et al.

Summary: Accurate forecasting of rainfall is achieved by utilizing the novel WMTLNN model which effectively captures historical observations. The WMTLNN model outperforms other models, with over 80% forecasting accuracy and NSE values ranging from 0.85 to 0.95. Wavelet transformation of time series data enhances efficiency and accuracy of rainfall forecast.

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2021)

Article Soil Science

Developing novel hybrid models for estimation of daily soil temperature at various depths

Saeid Mehdizadeh et al.

SOIL & TILLAGE RESEARCH (2020)

Article Geosciences, Multidisciplinary

Two-stage variational mode decomposition and support vector regression for streamflow forecasting

Ganggang Zuo et al.

HYDROLOGY AND EARTH SYSTEM SCIENCES (2020)

Article Engineering, Environmental

Multiple streamflow time series modeling using VAR-MGARCH approach

Farshad Fathian et al.

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2019)

Article Computer Science, Artificial Intelligence

Hybrid artificial intelligence-time series models for monthly streamflow modeling

Saeid Mehdizadeh et al.

APPLIED SOFT COMPUTING (2019)

Article Engineering, Civil

Modeling streamflow time series using nonlinear SETAR-GARCH models

Farshad Fathian et al.

JOURNAL OF HYDROLOGY (2019)

Article Engineering, Civil

Estimation of Clear-Water Local Scour at Pile Groups Using Genetic Expression Programming and Multivariate Adaptive Regression Splines

S. M. Bateni et al.

JOURNAL OF WATERWAY PORT COASTAL AND OCEAN ENGINEERING (2019)

Article Engineering, Civil

Streamflow and Hydrological Drought Trend Analysis and Forecasting in Cyprus

Dimitrios Myronidis et al.

WATER RESOURCES MANAGEMENT (2018)

Article Engineering, Civil

Integrated SARIMA with Neuro-Fuzzy Systems and Neural Networks for Monthly Inflow Prediction

Hamid Moeeni et al.

WATER RESOURCES MANAGEMENT (2017)

Article Water Resources

Pre-processing of data-driven river flow forecasting models by singular value decomposition (SVD) technique

Nastaran Chitsaz et al.

HYDROLOGICAL SCIENCES JOURNAL (2016)

Article Engineering, Civil

A stepwise model to predict monthly streamflow

Anas Mahmood Al-Juboori et al.

JOURNAL OF HYDROLOGY (2016)

Article Environmental Sciences

Urmia Lake water-level change detection and modeling

Farshad Fathian et al.

MODELING EARTH SYSTEMS AND ENVIRONMENT (2016)

Article Agriculture, Multidisciplinary

Long-term monthly evapotranspiration modeling by several data-driven methods without climatic data

Ozgur Kisi et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2015)

Article Engineering, Civil

Peak flood estimation using gene expression programming

Conrad R. Zorn et al.

JOURNAL OF HYDROLOGY (2015)

Article Computer Science, Artificial Intelligence

Effect of label noise in the complexity of classification problems

Luis P. F. Garcia et al.

NEUROCOMPUTING (2015)

Article Water Resources

Use of Gene Expression Programming in regionalization of flow duration curve

Muhammad Z. Hashmi et al.

ADVANCES IN WATER RESOURCES (2014)

Article Computer Science, Interdisciplinary Applications

River suspended sediment estimation by climatic variables implication: Comparative study among soft computing techniques

Ozgur Kisi et al.

COMPUTERS & GEOSCIENCES (2012)

Article Engineering, Civil

River Flow Estimation and Forecasting by Using Two Different Adaptive Neuro-Fuzzy Approaches

Hadi Sanikhani et al.

WATER RESOURCES MANAGEMENT (2012)

Article Environmental Sciences

Predicting monthly streamflow using data-driven models coupled with data-preprocessing techniques

C. L. Wu et al.

WATER RESOURCES RESEARCH (2009)

Review Computer Science, Artificial Intelligence

Machine learning: a review of classification and combining techniques

S. B. Kotsiantis et al.

ARTIFICIAL INTELLIGENCE REVIEW (2006)

Article Management

Neural network forecasting for seasonal and trend time series

GP Zhang et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2005)

Article Geosciences, Multidisciplinary

Testing and modelling autoregressive conditional heteroskedasticity of streamflow processes

W Wang et al.

NONLINEAR PROCESSES IN GEOPHYSICS (2005)

Article Engineering, Civil

River flow modeling using artificial neural networks

O Kisi

JOURNAL OF HYDROLOGIC ENGINEERING (2004)