Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
As technology scales to 40nm and beyond, intra-die process variability will cause large delay and leakage variations across a chip in addition to expected die-to-die variations. I...
Maryam Ashouei, Muhammad Mudassar Nisar, Abhijit C...
This paper focuses on the experimental performance assessment of the Quality-Oriented Adaptation Scheme (QOAS) when used for streaming high quality multimedia-based services via lo...
Background: FCI is an R code for analyzing data from real-time PCR experiments. This algorithm estimates standard curve features as well as nucleic acid concentrations and confide...
Paolo Verderio, Sara Pizzamiglio, Fabio Gallo, Sim...
When designing an encoder for a real-time video application over a wireless channel, we must take into consideration the unpredictable fluctuation of the quality of the channel an...