The aim of this paper is to study the popular models used for the simulation of major elements of a water quality system. The present study compares results of the CE-QUAL-W2 model with the WASP5 and MIKE11 models to assess the water quality of Pasikhan River. The contaminant loadings of Nitrate and Phosphate are utilized in the CE-QUAL-W2, WASP5 and MIKE11 simulations. This study is the first ...

This paper is a continuation of previous paper where the imbalance dataset problem was solved by applying a proposed novel partitioning-undersampling technique. Then a proposed innovative Insurance Fraud Detection (IFD) models were designed using base-classifiers; Decision Tree, Support Vector Machine and Artificial Neural Network. This paper proposed an innovative insurance fraud detection mod...

eco-innovation is an actual topic as it links two key issues, innovation and sustainability. theenvironmental respect and innovation are important drivers of competitiveness. firms are willing to knowwhat to do to improve their eco-innovative capacity. the objective of this paper is to empirically determinewhat common characteristics have the most environmental oriented innovative firms. we ana...

the earth’s gravity field dedicated missions provide homogeneous and uniformly accurate information on the long wavelengths of the earth’s gravity field. many different global geopotential models have introduced by earth and space research centers during the last years. the geopotential models derived from the grace satellite measurements are compared with the other models at different frequenc...

Digital platforms increasingly determine the 21 century business world. This is especially reflected in the development of multi-sided platforms such as Airbnb or Uber that depict the centerpiece of innovative business models as they effectively match demand-side and supply-side participants through advanced technologies. Such marketplace platforms substantially contribute to an emergence of ne...

The presence of outliers in time series can seriously affect the model specification and parameter estimation. To avoid these adverse effects, it is essential to detect these outliers and remove them from time series. By the Bayesian statistical theory, this article proposes a method for simultaneously detecting the additive outlier (AO) and innovative outlier (IO) in an autoregressive moving-a...