A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
With technology scaling, manufacture-time and in-field permanent faults are becoming a fundamental problem. Multi-core architectures with spares can tolerate them by detecting an...
Shuou Nomura, Matthew D. Sinclair, Chen-Han Ho, Ve...
Predicting how well applications may run on modern systems is becoming increasingly challenging. It is no longer sufficient to look at number of floating point operations and commu...
009), which constitutes an abstraction of the various aspects of a MAS, generalizing the AGR approach and incorporating the institutional work of Searle (Searle 1995). This model i...
Graphics processors are continuing their trend of vastly outperforming CPUs while becoming more general purpose. The latest generation of graphics processors have introduced the a...