Abstract. Long Short-Term Memory (LSTM) recurrent neural networks (RNNs) are local in space and time and closely related to a biological model of memory in the prefrontal cortex. N...
Current methods cannot synthesize real-time embedded software applications when the global deadline of a task is shorter than the total of all local deadlines along a critical pat...
Abstract—This paper describes and evaluates a biologically-inspired network architecture that allows grid services to autonomously adapt to dynamic environment changes in the net...
New checkable criteria for persistence of chemical reaction networks are proposed, which extend and complement existing ones. The new results allow the consideration of reaction ra...
David Angeli, Patrick De Leenheer, Eduardo D. Sont...
In emergency scenarios we can obtain a more effective coordination among team members constituting a mobile ad hoc network (MANET) through the use of reconfigurable systems. This ...