Alexander Uskov, Bhuvana Sekar

The nascent technologies—smart serious games and smart gamification—potentially present an effective fusion of smart technology and smart systems on one side, and applications of computer game mechanics in “serious” areas and gamification of business processes on the other side. They can combine the features and advantages of both areas, and, as a result, provide the end users with non-existing functionality, features and advances. This chapter is aimed to analyze current status of serious games and gamified applications in industry, examine “smartness” maturity levels of smart objects and systems, classify main components and features and present conceptual design model of smart serious games and smart gamified applications, identify technical skills required for a design and development of smart serious games and smart gamification of business, research and development processes and simulations.

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Elsevier introduces IPP, SNIP & SJR: A new perspective in journal metrics for researchers and publishers

Using hedge fund data as an example, this article demonstrates how MATLAB® can be used to automate the process of acquiring and analyzing fraud detection data.

Oliver Parson, is a research fellow in the Agents, Interaction and Complexity Group within Electronics and Computer Science at the University of Southampton. He is interested in investigating the ways in which machine learning techniques can be used to break down household energy consumption data into individual appliances, also known as Non-intrusive Appliance Load Monitoring (NIALM) or energy disaggregation.

The website of Bob Cromwell, with some nice articles about linux, UNIX and other stuff.

Dati i requisiti (spiegati più avanti) di "universalità", "non imposizione", "non dittatorialità", "monotonicità", "indipendenza dalle alternative irrilevanti", non è possibile determinare un sistema di votazione che preservi le scelte sociali.

Nice programs to learn about physic and train your english. Require QuickTime player.

Graph drawing can be thought of as a form of data visualization, but unlike most other types of visualization the information to be visualized is purely combinatorial, consisting of edges connecting a set of vertices.