An Extra Tree Regression Model for Discharge Coefficient Prediction: Novel, Practical Applications in the Hydraulic Sector and Future Research Directions

Hybridized Deep Learning Model for Perfobond Rib Shear Strength Connector Prediction

(2021) Jamal Abdulrazzaq Khalaf et al.   COMPLEXITY

Prediction of high-strength concrete: high-order response surface methodology modeling approach

(2021) Mohammed Majeed Hameed et al.   ENGINEERING WITH COMPUTERS

An extreme machine learning model for geosynthetic-reinforced sandy soil foundations

(2020) Muhammad Nouman Amjad Raja et al.   PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-GEOTECHNICAL ENGINEERING

Reinforced concrete deep beam shear strength capacity modelling using an integrative bio-inspired algorithm with an artificial intelligence model

(2020) Guangnan Zhang et al.   ENGINEERING WITH COMPUTERS

The potential of new ensemble machine learning models for effluent quality parameters prediction and related uncertainty

(2020) Ahmad Sharafati et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Multi hours ahead prediction of surface ozone gas concentration: Robust artificial intelligence approach

(2020) Mohamed Khalid AlOmar et al.   Atmospheric Pollution Research

Application of SVM, ANN, GRNN, RF, GP and RT models for predicting discharge coefficients of oblique sluice gates using experimental data

(2020) Farzin Salmasi et al.   Water Science and Technology-Water Supply

Data-Driven Model for the Prediction of Total Dissolved Gas: Robust Artificial Intelligence Approach

(2020) Mohamed Khalid AlOmar et al.   Advances in Civil Engineering

Global solar radiation prediction over North Dakota using air temperature: Development of novel hybrid intelligence model

(2020) Hai Tao et al.   Energy Reports

Development of more accurate discharge coefficient prediction equations for rectangular side weirs using adaptive neuro-fuzzy inference system and generalized group method of data handling

(2018) Isa Ebtehaj et al.   MEASUREMENT

Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters

(2018) Shahaboddin Shamshirband et al.   Engineering Applications of Computational Fluid Mechanics

The evaluation of the effect of nappe breakers on the discharge capacity of trapezoidal labyrinth weirs by ELM and SVR approaches

(2018) Omer Bilhan et al.   FLOW MEASUREMENT AND INSTRUMENTATION

A Highly Efficient Gene Expression Programming Model for Predicting the Discharge Coefficient in a Side Weir along a Trapezoidal Canal

(2017) Hamed Azimi et al.   IRRIGATION AND DRAINAGE

A new simulation-based genetic algorithm to efficiency measure in IDEA with weight restrictions

(2017) Bohlool Ebrahimi et al.   MEASUREMENT

Fuzzy logic speed controller optimization approach for induction motor drive using backtracking search algorithm

(2016) Jamal Abd Ali et al.   MEASUREMENT

Effective algorithms of the Moore-Penrose inverse matrices for extreme learning machine

(2015) Shuxia Lu et al.   Intelligent Data Analysis

Sensitivity analysis of the discharge coefficient of a modified triangular side weir by adaptive neuro-fuzzy methodology

(2015) Hossein Bonakdari et al.   MEASUREMENT

Review and statistical analysis of different global solar radiation sunshine models

(2015) Milan Despotovic et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Discharge coefficient of rectangular sharp-crested side weirs Part II: Domínguez's method

(2013) S. Bagheri et al.   FLOW MEASUREMENT AND INSTRUMENTATION

Use of artificial neural networks for prediction of discharge coefficient of triangular labyrinth side weir in curved channels

(2011) Omer Bilhan et al.   ADVANCES IN ENGINEERING SOFTWARE

Discharging capacity of rectangular side weirs in straight open channels

(2011) M. Emin Emiroglu et al.   FLOW MEASUREMENT AND INSTRUMENTATION

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Regularized extreme learning machine for regression problems

(2011) José M. Martínez-Martínez et al.   NEUROCOMPUTING