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An extra tree regression model for discharge coefficient prediction: novel, practical applications in the hydraulic sector and future research directions
Despite modern advances used to estimate the discharge coefficient (Cd), it is still a major
challenge for hydraulic engineers to accurately determine Cd for side weirs. In this study …
challenge for hydraulic engineers to accurately determine Cd for side weirs. In this study …
[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 …
A novel composite neural network based method for wind and solar power forecasting in microgrids
Nowadays, wind and solar power generation have a major impact in many microgrid hybrid
energy systems based on their cost and pollution. On the other hand, accurate forecasting of …
energy systems based on their cost and pollution. On the other hand, accurate forecasting of …
An emotional artificial neural network for prediction of vehicular traffic noise
Road traffic is a leading source of environmental noise pollution in large cities, which greatly
affects the health and well-being of people. A reliable method for the prediction of road traffic …
affects the health and well-being of people. A reliable method for the prediction of road traffic …
Efficient soft computing techniques for the prediction of compressive strength of geopolymer concrete
In the recent year, extensive researches have been done on fly ash-based geopolymer
concrete for its similar properties like Portland cement as well as its environmental …
concrete for its similar properties like Portland cement as well as its environmental …
Design of radial basis function-based support vector regression in predicting the discharge coefficient of a side weir in a trapezoidal channel
In general, trapezoidal channels are used in irrigation and drainage networks. When
installing a side weir on the side wall of a trapezoidal channel, as excess water reaches the …
installing a side weir on the side wall of a trapezoidal channel, as excess water reaches the …
An integrated framework of extreme learning machines for predicting scour at pile groups in clear water condition
In this study, an integrated framework of Extreme Learning Machines (ELM) was developed
to predict local scour depth around pile groups in clear water. The effective variables on …
to predict local scour depth around pile groups in clear water. The effective variables on …
[HTML][HTML] Optimisation of LSTM neural networks with NSGA-II and FDA for PV installations characterisation
Solar PV generation is renewable energy source that in the last years has contributed to
reduce the use of fossil fuels. Controlling the efficiency of photovoltaic (PV) installations is …
reduce the use of fossil fuels. Controlling the efficiency of photovoltaic (PV) installations is …
A reliable linear stochastic daily soil temperature forecast model
Forecasting soil temperature profile is recognized as vital information for irrigation demand
forecast in a modern/efficient agricultural water management framework in arid regions. A …
forecast in a modern/efficient agricultural water management framework in arid regions. A …
GMDH-GEP to predict free span expansion rates below pipelines under waves
In this research, group method of data handling (GMDH) as a one of the self-organized
approaches is utilized to predict three-dimensional free span expansion rates around …
approaches is utilized to predict three-dimensional free span expansion rates around …