We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...
Abstract. In this paper we present an implementation of May Happen in Parallel analysis for Java that attempts to address some of the practical implementation concerns of the origi...
Effective modeling and management of hardware resources have always been critical toward generating highly efficient code in static compilers. With Just-In-Time compilation and dy...
A novel ‘Rate adaptive Channel MAC paradigm’ has been proposed considering perfect channel prediction and optimal rate adaptation. Simulation results reveal a significant perf...
The paper presents two heuristics for hardware/software partitioning of system level specifications. The main objective is to achieve performance optimization with a limited hardw...
Petru Eles, Zebo Peng, Krzysztof Kuchcinski, Alex ...