In this paper we describe applications, research issues, and approaches related to Intelligent Transportation Systems (ITS). More specifically, we focus on spatio-temporal databas...
Transfer learning addresses the problem of how to leverage knowledge acquired in a source domain to improve the accuracy and speed of learning in a related target domain. This pap...
Lilyana Mihalkova, Tuyen N. Huynh, Raymond J. Moon...
Abstract. The optimal allocation of samples for activity-level detection in a wireless body area network for health-monitoring applications is considered. A wireless body area netw...
Gautam Thatte, Viktor Rozgic, Ming Li, Sabyasachi ...
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
— Location awareness is highly critical for wireless ad-hoc and sensor networks. Many efforts have been made to solve the problem of whether or not a network can be localized. Ne...