It has been recently demonstrated that digital signal processing systems may possibly leverage unconventional voltage overscaling (VOS) to reduce energy consumption while maintaini...
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Service-oriented computing paradigm encourages the use of dynamic binding of application requirements to the resources needed to fulfill application tasks. Especially in pervasive...
Nanjangud C. Narendra, Umesh Bellur, S. K. Nandy, ...
Enterprise networks are important, with size and complexity even surpassing carrier networks. Yet, the design of enterprise networks remains ad-hoc and poorly understood. In this p...
Yu-Wei Eric Sung, Sanjay G. Rao, Geoffrey G. Xie, ...
Human-computer interaction is multidisciplinary, drawing paradigms and techniques from both the natural sciences and the design disciplines. HCI cannot be considered a pure natura...