Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
David R. Musicant, Janara M. Christensen, Jamie F....
–This paper presents a novel affect-sensitive human-robot interaction framework for rehabilitation of children with autism spectrum disorder (ASD). The overall aim is to enable t...
Changchun Liu, Karla Conn, Nilanjan Sarkar, Wendy ...
The goal of Semantic Web research is to transform the Web from a linked document repository into a distributed knowledge base and application platform, thus allowing the vast rang...
— Many network applications are based on a group communications model where one party sends messages to a large number of authorized recipients and/or receives messages from mult...
Abstract—The increasing use of RFID tags in many applications have brought forth valid concerns of privacy and anonymity among users. One of the primary concerns with RFID tags i...
Murali S. Kodialam, Thyaga Nandagopal, Wing Cheong...