Across many fields of social science, machine learning (ML) algorithms are rapidly
advancing research as tools to support traditional hypothesis testing research (eg, through …

(56) References Cited than one of distinct software components selected from com ponent
sources and/or the PCSCs. The MADS inserts one or US PATENT DOCUMENTS more …

The challenges of pervasive and mobile computing environments, which are highly dynamic
and unpredictable, have motivated the development of self-adaptive software systems …

This article presents Agilla, a mobile agent middleware designed to support self-adaptive
applications in wireless sensor networks. Agilla provides a programming model in which …

Purpose–Emerging pervasive computing scenarios require open service frameworks
promoting situated and self‐adaptive behaviors, and supporting diversity in services and …

Pervasive and mobile computing call for suitable middleware and programming models to
support the activities of complex software systems in dynamic network environments. In this …

Aggregate computing is an emerging approach to the engineering of complex coordination
for distributed systems, based on viewing system interactions in terms of information …

In this paper we address the engineering of complex and emerging computational systems
featuring situatedness, adaptivity and self-organisation, like pervasive computing …

At their core, many time series data mining algorithms can be reduced to reasoning about
the shapes of time series subsequences. This requires a distance measure, and most …

A necessary condition for the establishment, on a substantial basis, of a parallel software
industry would appear to be the availability of technology for generating transportable …