Elastic AI: system support for adaptive machine learning in pervasive computing systems

System support for adaptive pervasive applications

Hybrid AI and Machine Learning Systems

Many different Artificial Intelligence and Machine Learning architectures and algorithms have been developed, each with their own strengths and weaknesses that make them particularly suited to certain classes of problems. Two approaches to artificial intelligence are dealt with here: subsumption architecture, and neural networks. S.A.’s are good at building up complex behaviors from sets of sim...

A Semantic and Adaptive Middleware Architecture for Pervasive Computing Systems

With the increasing demands for adaptive middleware of dynamic systems in pervasive computing environments, the need for dynamic software architecture and programming infrastructure to achieve dynamic adaptation is widely recognized. In this paper, we firstly present a semantic and adaptive middleware architecture called ScudWare that supports for dynamic and heterogeneous environments. ScudWar...

Pervasive Computing Support in the Transition towards Personalised Health Systems

This paper discusses pervasive computing work in the transition from traditional health care programs to personalised health systems (pHealth). A chronological guided transition survey is discussed to highlight trends in medicine describing their most recent developments about health care systems. Future trends in this interdisciplinary techno-medical area are described as research goals. Parti...

Interpretable Machine Learning for Privacy-Preserving IoT and Pervasive Systems

The presence of pervasive computing in our everyday lives and emergence of the Internet of Things, such as the interaction of users with connected devices like smartphones or home appliances generate increasing amounts of traces that reflect users’ behavior. A plethora of machine learning techniques enable service providers to process these traces to extract latent information about the users. ...