Existing density-based data stream clustering algorithms use a two-phase scheme approach consisting of an online phase, in which raw data is processed to gather summary statistics...
Agostino Forestiero, Clara Pizzuti, Giandomenico S...
The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using coo...
Context-aware pervasive systems are an important emerging category of software, increasingly pervading into daily life, play and work. These systems are characterized by capabilit...
Abstract—Context-aware applications adapt to changing computing environments or changing user circumstances/tasks. Context information that supports such adaptations is provided ...
This paper proposes an intuitive configuration tool for autonomic pervasive computing systems. Specifically the paper presents a system for the inference of user task intentions f...