Large-scale wireless sensor networks represent a new generation of real-time embedded systems with significantly different communication constraints from traditional networked sys...
Chenyang Lu, Brian M. Blum, Tarek F. Abdelzaher, J...
The queueing Petri net (QPN) paradigm provides a number of benefits over conventional modeling paradigms such as queueing networks and generalized stochastic Petri nets. Using qu...
Modern life sciences research increasingly relies on computational solutions, from large scale data analyses to theoretical modeling. Within the theoretical models Boolean network...
: Data assimilation is a method of combining an imperfect simulation model and a number of incomplete observation data. Sequential data assimilation is a data assimilation in which...
The development of many complex simulation applications requires collaborative effort from researchers with different domain knowledge and expertise, possibly at different locatio...
Dan Chen, Georgios K. Theodoropoulos, Stephen John...