Domain-specific modeling is a powerful technique to describe complex systems in a precise but still understandable way. Rapid creation of graphical Domain-Specific Languages (DSLs)...
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
This paper presents ATL (ATLAS Transformation Language): a hybrid model transformation language that allows both declarative and imperative constructs to be used in transformation ...
: Though it is widely recognized that object-oriented methodologies are most effective in developing large scale software, it is still dif cult to apply high level computer support...
This paper discusses a physics-based imaging model of scanning electron microscopes (SEM). The purpose is to accurately examine the imaging process of a SEM, which has to be neces...