We investigate the use of machine learning in combination with feature engineering techniques to explore human multimodal clarification strategies and the use of those strategies ...
— The complexity of today’s embedded systems forces designers to model and simulate systems and their components to explore the wide range of design choices. Such design space ...
The Sesame modeling and simulation framework aims at early and thus efficient system-level design space exploration of embedded multimedia system architectures. So far, Sesame onl...
For both embedded systems and biological cell systems, design is a feature that defines their identity. The assembly of different components in designs of both systems can vary wid...
Simon Polstra, Tessa E. Pronk, Andy D. Pimentel, T...
Design space exploration plays an essential role in the system-level design of embedded systems. It is imperative therefore to have efficient and effective exploration tools in th...