Abstract—This article discusses system-level techniques to optimize the power-performance trade-off in subthreshold circuits and presents a uniform platform for implementing ultr...
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
This paper formally presents the resident physician scheduling problem, which is one of the most important scheduling problems in hospital. The resident physician scheduling probl...
A tele-operated system in a robot greatly reduces the demands on the human operator, although some human intervention is still required to perform such tasks as insulator recognit...
The high degree of complexity and autonomy of future robotic space missions, such as Mars Science Laboratory (MSL), poses serious challenges in assuring their reliability and efï¬...