The pharmaceutical industry is facing an ever-increasing demand to discover novel drugs that are more effective and safer than existing ones. The industry faces huge problem in im...
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
This paper introduces the notion of a Flexible Instruction Processor (FIP) for systematic customisation of instruction processor design and implementation. The features of our app...
Data grids deal with a huge amount of data regularly. It is a fundamental challenge to ensure efficient accesses to such widely distributed data sets. Creating replicas to a suita...
Tablet PCs are gaining popularity, but many users, particularly older ones, still struggle with pen-based interaction. One type of error, drifting, occurs when users accidentally ...