Güncel Gönderiler: Akademik Arşiv / Institutional Repository
Toplam kayıt 2156, listelenen: 2141-2156
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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 ... -
Genetic programming in water resources engineering: a state-of-the-art review
(Elsevier, 2018)The state-of-the-art genetic programming (GP) method is an evolutionary algorithm for automatic generation of computer programs. In recent decades, GP has been frequently applied on various kind of engineering problems and ... -
An improved gene expression programming model for streamflow forecasting in intermittent streams
(Elsevier, 2018)Skilful forecasting of monthly streamflow in intermittent rivers is a challenging task in stochastic hydrology. In this study, genetic algorithm (GA) was combined with gene expression programming (GEP) as a new hybrid model ... -
Multigene genetic programming for sediment transport modeling in sewers for conditions of non-deposition with a bed deposit
(Elsevier, 2018)It is known that construction of large sewers based on consideration of flow with non-deposition without a bed deposit is not economical. Sewer design based on consideration of flow with non-deposition with a bed deposit ... -
Chaos-based multigene genetic programming: a new hybrid strategy for river flow forecasting
(Elsevier, 2018)Chaos theory is integrated with Multi-Gene Genetic Programming (MGGP) engine as a new hybrid model for river flow forecasting. This is to be referred to as Chaos-MGGP and its performance is tested using daily historic flow ... -
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 ... -
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, ... -
Season algorithm-multigene genetic programming: a new approach for rainfall-runoff modelling
(Springer Netherlands, 2018)Genetic programming (GP) is recognized as a robust machine learning method for rainfall-runoff modelling. However, it may produce lagged forecasts if autocorrelation feature of runoff series is not taken carefully into ... -
Trend analysis of hydroclimatological variables in Urmia lake basin using hybrid wavelet Mann–Kendall and Şen tests
(Springer-Verlag, 2018)This paper investigates monthly, seasonal, and annual trends in rainfall, streamflow, temperature, and humidity amounts at Urmia lake (UL) basin and analyzes the interaction between these variables and UL’s water level ... -
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 ... -
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, ... -
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) ... -
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 ... -
Fabrication and characterization of TiO2 nanoparticles conjugated luminescence upconversion nanoparticles
(Open Access Journal, 2018)TiO2 nanoparticles conjugated luminescence upconversion (TiO2-UC) nanocomposites have been fabricated by covalently linking of carboxyl-functionalized TiO2 and amino-functionalized NaYF4:Yb3+,Er3+,Ce3+ upconversion ... -
pH-responsive carboxymethyl cellulose conjugated superparamagnetic iron oxide nanocarriers
(Journal of Scientific Perspectives, 2019)In the present study, polyethyleneimine (PEI) coated superparamagnetic iron oxide nanoparticles (SPIONs) having the size of 15 nm in diameter with high magnetic saturation (60 emu/g) have been prepared by co-precipitation ... -
A pilot study of ion current estimation by ANN from action potential waveforms
(Journal of Biological Physics, 2022)Experiments using conventional experimental approaches to capture the dynamics of ion channels are not always feasible, and even when possible and feasible, some can be timeconsuming. In this work, the ionic current–time ...
