Yayıncı "Elsevier Science BV" Makale Koleksiyonu için listeleme
Toplam kayıt 7, listelenen: 1-7
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Ground water contaminant transport by nondivergence-free, unsteady and nonstationary velocity fields
(Elsevier Science BV, 2006)Pore flow velocity is assumed to be a nondivergence-free, unsteady, and non-stationary random function of space and time for ground water contaminant transport in a heterogeneous medium. The laboratory-scale stochastic ... -
Improving daily streamflow forecasts in mountainous Upper Euphrates basin by multi-layer perceptron model with satellite snow products
(Elsevier Science BV, 2016)This paper investigates the contribution of Moderate Resolution Imaging Spectroradiometer (MODIS) satellite Snow Cover Area (SCA) product and in-situ snow depth measurements to Artificial Neural Network model (ANN) based ... -
Improving sub-contractor selection process in construction projects: Web-based sub-contractor evaluation system (WEBSES)
(Elsevier Science BV, 2008)One of the most important phases in the construction industry (CI) is the bidding process. During the bidding process, selecting the most appropriate sub-contractors (SCs) for the relevant sub-works is highly critical for ... -
Leaching of trace metals from high carbon fly ash stabilized highway base layers
(Elsevier Science BV, 2012)Fly ash produced by power plants in the United States occasionally contains significant amounts of unburned carbon due to the use of low nitrogen-oxide and sulphur-oxide burners in recent years. This ash cannot be reused ... -
Modeling monthly pan evaporations using fuzzy genetic approach
(Elsevier Science BV, 2013)This study investigates the ability of fuzzy genetic (FG) approach in estimation of monthly pan evaporations. Various monthly climatic data, that are, solar radiation, air temperature, relative humidity and wind speed from ... -
Monthly streamflow forecasting using continuous wavelet and multi-gene genetic programming combination
(Elsevier Science BV, 2018)Streamflow is an essential component of the hydrologic cycle in the regional and global scale and the main source of fresh water supply. It is highly associated with natural disasters, such as droughts and floods. Therefore, ... -
A virtual blind spot identification system for construction projects
(Elsevier Science BV, 2018)The construction industry is recognized as one of the most hazardous industries. Visibility-related accidents are the cause of a significant portion of the total fatalities within the construction industry. Limited visibility ...