An extra tree regression model for discharge coefficient prediction: novel, practical applications in the hydraulic sector and future research directions

MM Hameed, MK AlOmar, F Khaleel… - Mathematical …, 2021 - Wiley Online Library
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 …

[HTML][HTML] Multi-steps drought forecasting in arid and humid climate environments: Development of integrative machine learning model

M Karbasi, M Jamei, A Malik, O Kisi… - Agricultural Water …, 2023 - Elsevier
In the current study, the Standardized Precipitation Evaporation Index (SPEI) was forecasted
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

A Heydari, DA Garcia, F Keynia, F Bisegna… - Applied Energy, 2019 - Elsevier
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 …

An emotional artificial neural network for prediction of vehicular traffic noise

V Nourani, H Gökçekuş, IK Umar, H Najafi - Science of the Total …, 2020 - Elsevier
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 …

Efficient soft computing techniques for the prediction of compressive strength of geopolymer concrete

R Biswas, A Bardhan, P Samui, B Rai… - Computers and …, 2021 - koreascience.kr
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 …

Design of radial basis function-based support vector regression in predicting the discharge coefficient of a side weir in a trapezoidal channel

H Azimi, H Bonakdari, I Ebtehaj - Applied Water Science, 2019 - Springer
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 …

An integrated framework of extreme learning machines for predicting scour at pile groups in clear water condition

I Ebtehaj, H Bonakdari, F Moradi, B Gharabaghi… - Coastal …, 2018 - Elsevier
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 …

[HTML][HTML] Optimisation of LSTM neural networks with NSGA-II and FDA for PV installations characterisation

M Martínez-Comesaña, J Martínez-Torres… - … Applications of Artificial …, 2023 - Elsevier
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 …

A reliable linear stochastic daily soil temperature forecast model

M Zeynoddin, H Bonakdari, I Ebtehaj… - Soil and Tillage …, 2019 - Elsevier
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 …

GMDH-GEP to predict free span expansion rates below pipelines under waves

M Najafzadeh, F Saberi-Movahed - Marine Georesources & …, 2019 - Taylor & Francis
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 …