Search Results - "McGinnity, TM"

Material recognition using tactile sensing by Kerr, Emmett, McGinnity, TM, Coleman, Sonya

“…•A system that can recognise materials based on tactile sensing alone is presented.•Identification achieved by analysis of thermal conductivity and surface…”
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A Time-Frequency Approach to Feature Extraction for a Brain-Computer Interface with a Comparative Analysis of Performance Measures by Coyle, Damien, Prasad, Girijesh, McGinnity, TM

“…: The paper presents an investigation into a time-frequency (TF) method for extracting features from the electroencephalogram (EEG) recorded from subjects…”
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Human vital sign determination using tactile sensing and fuzzy triage system by Kerr, Emmett, McGinnity, T.M., Coleman, Sonya, Shepherd, Andrea

“…•Development of a fuzzy classification system to ascertain an overall health status.•Determination of human BPM, RR and rhythm analysis via robotic tactile…”
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Forecasting movements of health-care stock prices based on different categories of news articles using multiple kernel learning by Shynkevich, Yauheniya, McGinnity, T.M., Coleman, Sonya A., Belatreche, Ammar

“…The market state changes when a new piece of information arrives. It affects decisions made by investors and is considered to be an important data source that…”
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An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network by Leng, Gang, McGinnity, Thomas Martin, Prasad, Girijesh

“…This paper presents a hybrid neural network, called the self-organising fuzzy neural network (SOFNN), to extract fuzzy rules from the training data. The first…”
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Robust Microbial Markers for Non-Invasive Inflammatory Bowel Disease Identification by Wingfield, Benjamin, Coleman, Sonya, McGinnity, TM, Bjourson, AJ

“…Inflammatory Bowel Disease (IBD) is an umbrella term for a group of inflammatory diseases of the gastrointestinal tract, including Crohn's Disease and…”
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An on-line algorithm for creating self-organizing fuzzy neural networks by Leng, Gang, Prasad, Girijesh, McGinnity, Thomas Martin

“…This paper presents a new on-line algorithm for creating a self-organizing fuzzy neural network (SOFNN) from sample patterns to implement a singleton or…”
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A time-series prediction approach for feature extraction in a brain-computer interface by Coyle, D., Prasad, G., McGinnity, T.M.

“…This paper presents a feature extraction procedure (FEP) for a brain-computer interface (BCI) application where features are extracted from the…”
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Fault diagnosis of electronic systems using intelligent techniques: a review by Fenton, W.G., McGinnity, T.M., Maguire, L.P.

“…In an increasingly competitive marketplace system complexity continues to grow, but time-to-market and lifecycle are reducing. The purpose of fault diagnosis…”
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Predicting a chaotic time series using a fuzzy neural network by Maguire, L.P., Roche, B., McGinnity, T.M., McDaid, L.J.

“…In this paper the authors present an alternative neurofuzzy architecture for application to chaotic time series prediction. The architecture employs an…”
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Application of Bayesian Framework in Natural Language Understanding by Goyal, Pawan, Behera, Laxmidhar, McGinnity, T.M.

“…A natural language understanding (NLU) system has to handle a large amount of data. A graphical model serves as an advantageous tool for data analysis encoding…”
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Intrinsic and extrinsic implementation of a bio-inspired hardware system by Glackin, B., Maguire, L.P., McGinnity, T.M.

“…Due to the complexity of modern day systems and the fact that most real world problems are not fixed but rather change with time, it is necessary to look for…”
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Spike Train Synchrony Analysis of Neuronal Cultures by Lama, Nikesh, Hargreaves, Alan, Stevens, Bob, McGinnity, TM

“…Spike train synchrony estimation of neuronal cultures provides valuable insights into firing patterns of neurons in terms of degree of similarity or…”
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Self-repair of embedded systems by Coyle, E.A, Maguire, L.P, McGinnity, T.M

“…As embedded systems are increasingly entrusted with critical tasks, it becomes important that these systems exhibit high levels of reliability. Increasing…”
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The implementation of fuzzy systems, neural networks and fuzzy neural networks using FPGAs by Blake, J.J., Maguire, L.P., McGinnity, T.M., Roche, B., McDaid, L.J.

“…This paper describes the hardware implementations of fuzzy systems, neural networks and fuzzy neural networks (FNNs) using Xilinx Field Programmable Gate…”
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Landscape classification and problem specific reasoning for genetic algorithms by Mac Giolla Bhríde, F, McGinnity, T.M, McDaid, L.J

“…Purpose - This paper addresses issues dealing with genetic algorithm (GA) convergence and the implications of the No Free Lunch Theorem which states that no…”
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Integration of UML and VHDL-AMS for analogue system modelling by CARR, C. T, MCGINNITY, T. M, MCDAID, L. J

“…This paper details a new object-oriented methodology that permits a unified modelling language (UML) behavioural representation of analogue circuits at system…”
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Genetic algorithm driven hardware–software partitioning for dynamically reconfigurable embedded systems by Harkin, J., McGinnity, T.M., Maguire, L.P.

“…The need for inexpensive, compact and adaptive systems prompted considerable interest in the hardware–software co-design of embedded systems. In particular,…”
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A design for a self-organizing fuzzy neural network based on the genetic algorithm by Leng, G., McGinnity, T.M., Prased, G.

“…A novel hybrid algorithm based on the genetic algorithm, named self-organizing fuzzy neural network based on genetic algorithm (SOFNNGA), is proposed to design…”
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Evolving learning mechanism for a general computing network model by Wu, Q., McGinnity, T.M., Prasad, G., Bell, D.

“…In this paper, an evolving learning mechanism is proposed for general computing network model to make decisions in intelligent systems. The novel mechanism is…”
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