—We consider the problem of inferring link loss rates using passive measurements. Prior inference approaches are mainly built on the time correlation nature of packet losses. How...
In this study, we propose a new machine learning model namely, Adaptive Locality-Effective Kernel Machine (Adaptive-LEKM) for protein phosphorylation site prediction. Adaptive-LEK...
Paul D. Yoo, Yung Shwen Ho, Bing Bing Zhou, Albert...
This paper presents the adaptation model used in NUCLEO, a pilot e-learning environment that is currently being developed at the Complutense University of Madrid. The NUCLEO syste...
—The use of adaptively-routed wormhole switched k-ary n-cubes has been motivated by the high path diversity provided by the rich topology of this family of interconnection networ...
Nasser Alzeidi, Mohamed Ould-Khaoua, Lewis M. Mack...
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...