Application-specific instruction set processors (ASIPs) have the potential to meet the challenging cost, performance, and power goals of future embedded processors by customizing ...
Manjunath Kudlur, Kevin Fan, Michael L. Chu, Rajiv...
Developing scalable algorithms for solving partially observable Markov decision processes (POMDPs) is an important challenge. One promising approach is based on representing POMDP...
Christopher Amato, Daniel S. Bernstein, Shlomo Zil...
We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with only local information. The performance of the lea...
Recent research has shown that cryptographers with glitches are vulnerable in front of Side Channel Attacks (SCA). Since then, several methods, such as Wave Dynamic Differential Lo...
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...