In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsc...
Several complex biological phenomena are to be modelled in terms of a large and dynamic network of compartments, where the interplay between inter-compartment and intra-compartmen...
Dynamic Fault Trees (DFT) extend standard fault trees by allowing the modeling of complex system components’ behaviors and interactions. Being a high level model and easy to use...
This paper addresses the problem of object detection and recognition in complex scenes, where objects are partially occluded. The approach presented herein is based on the hypothe...
With the advent of large scale heterogeneous environments, there is a need for matching and scheduling algorithms which can allow multiple DAG-structured applications to share the...