Despite the well-known performances and the theoretical power of neural networks, learning and generalizing are sometimes very difficult. In this article, we investigate how short ...
When large amount of statistical information about power system component failure rate is available, statistical parametric models can be developed for predictive maintenance. Oft...
Miroslav Begovic, Petar M. Djuric, Joshua Perkel, ...
Abstract-- In this paper, we address the issue of forecasting for periodically measured nonstationary traffic based on statistical time series modeling. Often with time series base...
Intelligent Tutoring Systems (ITSs) have been used for decades to teach students domain content or strategies. ITSs often struggle to maintain students’ interest and sustain a pr...
G. Tanner Jackson, Kyle B. Dempsey, Danielle S. Mc...
Human-robot interaction has been identified as one of the major open research directions in mobile robotics. This paper considers a specific type of interaction: short-term and sp...
Jamieson Schulte, Charles R. Rosenberg, Sebastian ...