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A hybrid support vector regression-firefly model for monthly rainfall forecasting
(Springer Berlin Heidelberg, 2019)
Long-term prediction of rainfalls is one of the most challenging tasks in stochastic hydrology owing to the highly random characteristics of rainfall events. In this paper, a novel approach is adopted to develop a hybrid ...
Ensemble gene expression programming: a new approach for evolution of parsimonious streamflow forecasting model
(Springer-Verlag, 2019)
A precise forecast of streamflow in intermittent rivers is of major difficulties and challenges in watershed management, particularly in arid and semiarid regions. The present research study introduces an ensemble gene ...
Pareto-optimal MPSA-MGGP: a new gene-annealing model for monthly rainfall forecasting
(Elsevier, 2019)
Rainfall is considered the hardest weather variable to forecast, and its cause-effect relationships often cannot be expressed in simple or complex mathematical forms. This study introduces a novel hybrid model to month ...
A genetic programming approach to forecast daily electricity demand
(Springer Nature Switzerland AG, 2019)
A number of recent researches have compared machine learning techniques to find more reliable approaches to solve variety of engineering problems. In the present study, capability of canonical genetic programming (GP) ...
Investigating the effect of hydroclimatological variables on Urmia Lake water level using wavelet coherence measure
(IWA Publishing, 2019)
In this paper, wavelet transform coherence is implemented to examine the impacts of hydroclimatological variables on water level fluctuations in two large saline lakes in the Middle East with a similar geographical location, ...
Treated wastewater for concrete mixing; a comparitive study between astm and Turkisch standards
(12th International Scientific Conference on Production Engineering Development and Modernization of Production, 2019)
Water is one of the concrete mixing componenis that directly affecis the workability, durability, and mechanical properties of concrete elemenis. Generaliy, potable water which is suitable for human consumption is considered ...
Emotional ANN (EANN): a new generation of neural networks for hydrological modeling in IoT
(Springer Nature Switzerland AG, 2019)
Emotional artificial neural network (EANN) is a cutting-edge artificial intelligence method that has been used by researchers in the engineering and medical sciences over the recent years. First introduced in the 1999s, ...
Relationship between traffic density and pavement deflections
(Université d'Evry / Université Paris-Saclay, 2019)
Traffic density is one of the most important parameters to consider in road
construction. The presence of different components in road construction makes it essential to know the individual layer and inter-layer behaviors. ...
Energy demand forecasting using deep learning
(Springer Nature Switzerland AG, 2019)
Our cities face non-stop growth in population and infrastructures and require more energy every day. Energy management is the key success for the smart cities concept since electricity is one of the essential resources ...
A brief review of experimental friction loss studies for polyetylene pipes
(12th International Scientific Conference on Production Engineering Development and Modernization of Production, 2019)
Plastic pipes, especialiy polyethylene pipes have grown to become one of the freguently utilized material in pipeline systems owing to its advantages of corrosion, biological and chemical resistance over traditional metal ...
