Browsing Cyfrifiadureg / Computer Science by Title

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Browsing Cyfrifiadureg / Computer Science by Title

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  • Bignardi, T.; Burnet, S.; Alhamdan, D.; Lu, Chuan; Pardey, J.; Benzie, R.; Condous, George (2011-06-06)
    OBJECTIVE: To assess the impact of the introduction of an ultrasound-based model of care for women with acute gynecological complications. METHODS: This was a prospective comparative study of women attending an ultrasound-based ...
  • Lee, Mark (2000-06)
    Over the past three decades, tactile sensing has developed into a sophisticated technology. There has been a longstanding and widely held expectation that tactile sensors would have a major impact on industrial robotics ...
  • MacParthaláin, Neil Seosamh; Jensen, Richard (IEEE, 2009-11-30)
    For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors to reflect decision class labels. It is ...
  • MacParthaláin, Neil Seosamh; Jensen, Richard (2010)
    For supervised learning, feature selection algorithms attemptto maximise a given function of predictive accuracy.This function usually considers the ability of feature vectorsto reflect decision class labels. It is therefore ...
  • Spasić, Irena; Dunn, Warwick B.; Velarde, Giles; Tseng, Andy; Jenkins, Helen; Hardy, Nigel; Oliver, Stephen G.; Kell, Douglas B. (2006-06-05)
    Background The genome sequencing projects have shown our limited knowledge regarding gene function, e.g. S. cerevisiae has 5–6,000 genes of which nearly 1,000 have an uncertain function. Their gross influence on the behaviour ...
  • Fiehn, Oliver; Robertson, Donald; Griffin, Julian L.; van der Werf, Mariet; Nikolau, Basil; Morrison, Norman; Sumner, Lloyd W.; Goodacre, Royston; Hardy, Nigel; Taylor, Chris F.; Fostel, Jennifer; Kristal, Bruce; Kaddurah-Daouk, Rima; Mendes, Pedro; van Ommen, B.; Lindon, John C.; Sansone, Susanna-Assunta (2007-09-01)
    In 2005, the Metabolomics Standards Initiative has been formed. An outline and general introduction is provided to inform about the history, structure, working plan and intentions of this initiative. Comments on any of the ...
  • Neal, Mark (2003-09)
    Abstract. This paper describes an artificial immune system algorithm which implements a fairly close analogue of the memory mechanism proposed by Jerne(1) (usually known as the Immune Network Theory). The algorithm demonstrates ...
  • Shen, Qiang; Daly, Ronan (2007)
    Bayesian networks have become a standard technique in the representation of uncertain knowledge. This paper proposes methods that can accelerate the learning of a Bayesian network structure from a data set. These methods ...
  • Liang, Shen; He, Jun (2010-07)
    The performance of Evolutionary Programming (EP) is affected by many factors (e.g. mutation operators and selection strategies). Although the conventional approach with Gaussian mutation operator may be efficient, the ...
  • He, Jun; Kang, Lishan (2009-04-23)
    Multigrid methods have been proven to be an efficient approach in accelerating the convergence rate of numerical algorithms for solving partial differential equations. This paper investigates whether multigrid methods are ...
  • Zwiggelaar, Reyer; Parr, T. C.; Schumm, J. E.; Hutt, I. W.; Taylor, C. J.; Astley, S. M.; Boggis, C. R. M. (1999)
    Computer-aided mammographic prompting systems require the reliable detection of a variety of signs of cancer. In this paper we concentrate on the detection of spiculated lesions in mammograms. A spiculated lesion is typically ...
  • Snooke, Neal (2004-06)
    Failure Mode and Effects Analysis is widely used in engineering hardware systems to help in understanding the effects of potential failures and the faults that cause them to occur. The analysis is iterative leading to ...
  • Lee, Mark (2000)
    The software engineering industry suffers from almost unmanageable complexity both in the products it produces and in the processes of production. One of the current shortcomings in the software production process is the ...
  • Price, Chris; Struss, Peter (2004-01)
    The automotive industry was the first to promote the development of applications of model-based systems technology on a broad scale and, as a result, has produced some of the most advanced prototypes and products. In this ...
  • Shen, Qiang; Zhao, Ruiqing; Tang, Wansheng (2008-10)
    This short paper discusses the modeling of random fuzzy renewal reward processes in which the interarrival times and rewards are represented by nonnegative random fuzzy variables. Based on random fuzzy theory, a random ...
  • Dee, Hannah; Fraile, Roberto; Hogg, David C.; Cohn, Anthony G. (2008)
    This paper describes a method for building visual “maps” from video data using quantized descriptions of motion. This enables unsupervised classification of scene regions based upon the motion patterns observed within them. ...
  • Onyango, Christine M.; Marchant, John A.; Zwiggelaar, Reyer (1997-06)
    No absolute certainty can be given for information derived from images. In most cases image analysis uses single algorithms, or multiple single algorithms' results which are combined in an ad hoc manner, to derive certain ...
  • Rowland, Jeremy John (2003-11)
    The expressive power, powerful search capability, and the explicit nature of the resulting models make evolutionary methods very attractive for supervised learning applications in bioinformatics. However, their characteristics ...
  • Shen, Qiang; Rasmani, Khairul (2004)
    The use of fuzzy quantifiers in linguistic fuzzy models helps to build fuzzy systems that use linguistic terms in a more natural way. Although several fuzzy quantification techniques have been developed, the application ...
  • Schierz, Amanda (2007-11-01)
    The diffusion and transfer of knowledge is central to the process of innovation and is of importance to both academics and industrialists. In this paper, we propose that academic articles and patent documents referring to ...

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