Embedded signal processing system is a typical type of application in embedded domain. Such systems typically have requirements on high real-time responsiveness and large buffer c...
The aim of this study is to investigate the impact of various pre-processing models on the forecast capability of artificial neural network (ANN) when auditing financial accounts. ...
: Natural Language is not appropriate for reference models because it risks being an in-complete, unstructured and inconsistent form of representation. This paper presents insights...
One of the important problems in data mining is discovering association rules from databases of transactions where each transaction consists of a set of items. The most time consu...
It has been observed that there are a variety of situations in which the most popular hybrid simulation methods can fail to properly detect the occurrence of discrete events. In th...