The predominant knowledge-based approach to automated model construction, compositional modelling, employs a set of models of particular functional components. Its inference mecha...
In many signal processing problems, it may be fruitful to represent the signal under study in a redundant linear decomposition called a frame. If a probabilistic approach is adopt...
A computational enterprise model representing key facets of an organization can be an effective tool. For example, a specific organization's quality management business proce...
Modern architectures implement relaxed memory models which may reorder memory operations or execute them non-atomically. Special instructions called memory fences are provided, al...
Abstract. The continuing trend towards more sophisticated technical applications results in an increasing demand for high quality software for complex, safety-critical systems. Des...