This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre pro...
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les...
In this work informal learning theories and practices and social networking features are taken as starting points to build a reference collaboration model to support collaborative ...
Abstract. This paper explores the role of transactive memory in enabling knowledge transfer between globally distributed teams. While the information systems literature has recentl...
In this paper an omnidirectional Distributed Vision System (DVS) is presented. The presented DVS is able to learn to navigate a mobile robot in its working environment without any...
Emanuele Menegatti, C. Simionato, Stefano Tonello,...
As a result of globalization, mergers, acquisitions, and scarce skills, software development is increasingly more distributed. Distribution, however, introduces major communicatio...