Cognitive modeling with neural networks unrealistically ignores the role of knowledge in learning by starting from random weights. It is likely that effective use of knowledge by ...
Mobile adaptive networks consist of a collection of nodes with learning and motion abilities that interact with each other locally in order to solve distributed processing and dis...
In this paper, we introduce the Join-Elect-Leave (JEL) model, a simple yet powerful model for tracking the resources participating in an application. This model is based on the co...
Niels Drost, Rob van Nieuwpoort, Jason Maassen, He...
Personal mobile devices are increasingly equipped with the capability to sense the physical world (through cameras, microphones, and accelerometers, for example) and the network w...
Cory Cornelius, Apu Kapadia, David Kotz, Daniel Pe...
Abstract. Microshrinkages are known as probably the most difficult defects to avoid in high-precision foundry. The presence of this failure renders the casting invalid, with the su...
Igor Santos, Javier Nieves, Yoseba K. Penya, Pablo...