Search Results - "Hagras, H."

A fuzzy embedded agent-based approach for realizing ambient intelligence in intelligent inhabited environments by Doctor, F., Hagras, H., Callaghan, V.

“…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…”
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Interval Type-2 Fuzzy Logic Congestion Control for Video Streaming Across IP Networks by Jammeh, E.A., Fleury, M., Wagner, C., Hagras, H., Ghanbari, M.

“…Intelligent congestion control is vital for encoded video streaming of a clip or film, as network traffic volatility and the associated uncertainties require…”
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A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots by Hagras, H.A.

“…Autonomous mobile robots navigating in changing and dynamic unstructured environments like the outdoor environments need to cope with large amounts of…”
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Embedding Computational Intelligence in Pervasive Spaces by Hagras, H.

“…This paper presents how to embed AI mechanisms in pervasive spaces to produce more intelligent, adaptive, and convenient environments. The paper also…”
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Creating an ambient-intelligence environment using embedded agents by Hagras, H., Callaghan, V., Colley, M., Clarke, G., Pounds-Cornish, A., Duman, H.

“…The Essex intelligent dormitory, iDorm, uses embedded agents to create an ambient-intelligence environment. In a five-and-a-half-day experiment, a user…”
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Comments on "Dynamical Optimal Training for Interval Type-2 Fuzzy Neural Network (T2FNN) by Hagras, H.

“…In this comment, it will be shown that the backpropagation (BP) equations by Wang are not correct. These BP equations were used to tune the parameters of the…”
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Detection Of Normal and Novel Behaviours In Ubiquitous Domestic Environments by Rivera-illingworth, F., Callaghan, V., Hagras, H.

“…The importance of ubiquitous environments has increased in recent years as it has been recognized as a paradigm that can improve the quality of life of many…”
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Outdoor mobile robot learning and adaptation by Hagras, H., Callaghan, V., Collry, M.

“…Describes online learning techniques for prototyping outdoor mobile robots operating in unstructured environments…”
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Optimization strategies for parametric analysis of thin-film reflectivity spectra by Schlaf, M., Hagras, H., Sands, D.

“…Near-normal incidence Fourier transform infrared reflection spectra are utilized to determine the optical properties and thickness of thin films. A parametric…”
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A Type-2 Fuzzy Ontology and Its Application to Personal Diabetic-Diet Recommendation by Chang-Shing Lee, Mei-Hui Wang, Hagras, H.

“…It has been widely pointed out that classical ontology is not sufficient to deal with imprecise and vague knowledge for some real-world applications like…”
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Multiobjective Optimization and Comparison of Nonsingleton Type-1 and Singleton Interval Type-2 Fuzzy Logic Systems by Cara, A. B., Wagner, C., Hagras, H., Pomares, H., Rojas, I.

“…Singleton interval type-2 fuzzy logic systems (FLSs) have been widely applied in several real-world applications, where it was shown that the singleton…”
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An Incremental Adaptive Life Long Learning Approach for Type-2 Fuzzy Embedded Agents in Ambient Intelligent Environments by Hagras, H., Doctor, F., Callaghan, V., Lopez, A.

“…In this paper, we present a novel type-2 fuzzy systems based adaptive architecture for agents embedded in ambient intelligent environments (AIEs). Type-2 fuzzy…”
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An evolutionary algorithm for the off-line data driven generation of fuzzy controllers for intelligent buildings by Lopez, A., Sanchez, L., Doctor, F., Hagras, H., Callaghan, V.

“…Ambient intelligence is nowadays an active research field. As a key matter of this concept, several approaches have been proposed for the development of…”
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A novel multi-objective multi-constraint genetic algorithms approach for co-ordinating embedded agents by Tawil, E., Hagras, H.

“…In this paper, we present a distributed, fault tolerant and adaptive software architecture for cooperative multi-embedded agent systems that operate in…”
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A connectionist embedded agent approach for abnormal behaviour detection in intelligent health care environments by Rivera-Illingworth, F., Callaghan, V., Hagras, H.

“…This work aims to realise the vision of ambient intelligence in health care environments. The proposed system combines the use of unobtrusive sensors and…”
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A type-2 fuzzy logic controller for autonomous mobile robots by Hagras, H.

“…There are many sources of uncertainty facing the fuzzy logic controller (FLC) for autonomous mobile robots navigating in changing and dynamic unstructured…”
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Adaptive Non-singleton Type-2 Fuzzy Logic Systems: A Way Forward for Handling Numerical Uncertainties in Real World Applications by Sahab, Nazanin, Hagras, Hani

“…Real world environments are characterized by high levels of linguistic and numerical uncertainties. A Fuzzy Logic System (FLS) is recognized as an adequate…”
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A type-2 fuzzy embedded agent to realise ambient intelligence in ubiquitous computing environments by Doctor, Faiyaz, Hagras, Hani, Callaghan, Victor

“…In this paper, we present a novel approach for realising the vision of ambient intelligence in ubiquitous computing environments (UCEs). This approach is based…”
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Towards developing micro-scale robots for inaccessible fluidic environments by Colley, M., de Souza, G., Hagras, H., Pounds-Cornish, A., Clarke, G., Callaghan, V.

“…In this paper we introduce the development of dedicated hardware capable of controlling autonomous micro-scale robots for fault detection/repair in complex…”
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Evolving spiking neural network controllers for autonomous robots by Hagras, H., Pounds-Cornish, A., Colley, M., Callaghan, V., Clarke, G.

“…In this paper we introduce a novel mechanism for controlling autonomous mobile robots that is based on using spiking neural networks (SNNs). The SNNs are…”
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