Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
In this paper, a method is presented for the efficient estimation of rare-event (buffer overflow) probabilities in queueing networks using importance sampling. Unlike previously pr...
This paper present highlights of the results of a survey of instructors of the introductory Artificial Intelligence course at colleges and universities throughout the United State...
Asynchronous transfer mode (ATM) networks must define multicast capabilities in order to efficiently support numerous applications, such as video conferencing and distributed appli...
The Available Bit Rate (ABR) service has been developed to support data applications over Asynchronous Transfer Mode (ATM). The ABR service uses a closed-loop rate-based traffic ma...