Well-defined memory consistency models are necessary for writing correct parallel software. Developing and understanding formal specifications of hardware memory models is a chal...
ARIMA is a popular method to analyze stationary univariate time series data. There are usually three main stages to build an ARIMA model, including model identification, model est...
In this work, we propose a new robust and edge-preserving superresolution algorithm to simultaneously estimate all frames of a sequence. The new algorithm is based on the regulari...
The simulation of group-work interaction is significant for Chinese enterprise organizational management. As a result, a cellular-automata based simulation model is put forward. T...
: This paper presents a systematic study of some major problems involved in the transformation of business process modelling languages to executable business process representation...
Wei Zhao, Rainer Hauser, Kamal Bhattacharya, Barre...