Despite a large research effort, software distributed shared memory systems have not been widely used to run parallel applications across clusters of computers. The higher perform...
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
In this paper, a multimedia data mining framework for discovering important but previously unknown knowledge such as vehicle identification, traffic flow, and the spatio-temporal ...
— Palpation of tissue and organs during a surgical procedure provides clinicians with valuable information for diagnosis and surgical planning. In robot-assisted minimally invasi...
Flexible automation in the form of mobile robots holds the potential for decreasing operating costs while improving delivery performance in mid-size hospital delivery systems. Thi...