The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
— Scaling down the voltage levels of the processing elements (PEs) in a Network-on-Chip (NoC) can significantly reduce the computation energy consumption with an overhead of the...
In this paper, we introduce MaDcAr, a model of engines for dynamic and automatic (re)assembling of component-based software. In MaDcAr, an application description consists of the d...
— The maximum lifetime routing problem in wireless sensor networks has received increasing attention in recent years. One way is to formulate it as a linear programming problem b...
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...