Many kinds of creativity result from combination of mental representations. This paper provides a computational account of how creative thinking can arise from combining neural pa...
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
We present a framework for segmenting and storing filament networks from scalar volume data. Filament structures are commonly found in data generated using high-throughput microsc...
We present a generic mobility and traffic generation framework that can be incorporated into a tool for modeling and simulating large scale ad hoc networks. Three components of thi...
Christopher L. Barrett, Madhav V. Marathe, James P...
— Group communications are important in Mobile Ad hoc Networks (MANET). Multicast is an efficient method to implement the group communications. However, it is challenging to imp...