Faiyaz Doctor

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In this paper, we describe a novel life-long learning approach for intelligent agents that are embedded in intelligent environments. The agents aim to realize the vision of ambient intelligence in intelligent inhabited environments (IIE) by providing ubiquitous computing intelligence in the environment supporting the activities of the user. An unsupervised,(More)
----In this paper, we present a novel adaptive embedded agent architecture for Ambient Intelligent Environments (AIEs) that is based on interval type-2 fuzzy systems. Type-2 fuzzy systems are able to handle the different sources of uncertainty and imprecision encountered in AIEs to give a very good response. The presented agent architecture uses a one pass(More)
Monitoring students’ activity and performance is vital to enable educators to provide effective teaching and learning in order to better engage students with the subject and improve their understanding of the material being taught. We describe the use of a fuzzy Linguistic Summarisation (LS) technique for extracting linguistically interpretable scaled fuzzy(More)
In this paper, we present a novel approach for realising the vision of ambient intelligence in Ubiquitous Computing Environments (UCEs). This approach is based on embedding intelligent agents in UCEs. These agents are based on type-2 fuzzy systems which are able to handle the different sources uncertainty and imprecision in UCEs to give a good response. We(More)
Global warming is becoming one of the serious issues facing humanity. Several initiatives have been introduced to deal with global warming including the Kyoto protocol which assigned mandatory targets for the reduction of greenhouse gas emissions to signatory nations. However, over the last decade, commercial buildings worldwide have experienced massive(More)
The importance of finding relevant information for business and decision making is imperative for both individuals as well as enterprises. In this paper, we present an approach for the development of a fuzzy information retrieval (IR) system. The approach provides a new mechanism for constructing and integrating three relevancy profiles comprising of: a(More)
--In this paper we describe a novel life long learning approach for intelligent agents that are embedded in intelligent environments. The agents aim to realise the vision of Ambient Intelligence in Intelligent Inhabited Environments (IIE) by providing ‘ubiquitous computing intelligence in the environment supporting the activities of the user. An(More)
There is an increasing amount of research into intelligent space (e .g. pervasive computing, ambient intelligence, intelligent environments, smart homes etc). Much of the current research focuses on environments populated by numerous computing devices, sensors, actuators, various wired and wireless networking systems. A popular vision for such spaces is(More)
From its inception research in Affective Computing has inspired a new generation of applications aimed at improving the interaction between humans and machines. Car driver concentration monitoring, Adaptive Computer Interfaces that react to affective states, e-learning systems that convey students’ emotions and homes that cater for affective therapy are all(More)