Browsing Cyfrifiadureg / Computer Science by Title

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Browsing Cyfrifiadureg / Computer Science by Title

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  • Hanks, Brian; Zander, Carol; Thomas, Lynda; Simon, Beth; Fitzgerald, Sue; Murphy, Laurie; McCauley, Renee (2009-07)
    We present what students say about their preferred learning style to succeed in introductory programming. Using the Felder-Silverman learning styles, students contrasted the 'best' learning style for programming with the ...
  • Snooke, Neal (2010-08-04)
    This paper argues that software engineering should not overlook the lessons learned by other engineering disciplines with longer established histories. As software engineering evolves it should focus not only on application ...
  • Byrne, Emma Louise; Liakata, Maria; Whelan, Kenneth Edward; Oliver, Stephen G.; Rowland, Jeremy John; Aubrey, Wayne; Soldatova, Larisa Nikolaevna; Sparkes, Andrew Charles; Young, Michael; Markham, Magdalena; Clare, Amanda Janet; Pir, Pinar; King, Ross Donald (2009-08-21)
    In their 19 June letter ('Machines fall short of revolutionary science,' p. 1515), P. W. Anderson and E. Abrahams, commenting on our work on the automation of science, state that we are 'seriously mistaken about the nature ...
  • Walker, Joanne; Wilson, Myra (2002-10)
  • Barnes, David Preston; Tyler, Laurence; McMahon, Paul (2011-05-05)
    The Beagle 2 robotic arm was studied to evaluate its suitability as a basis for the design of a lightweight instrument deployment arm for a future planetary rover mission. Newly developed circuitry allowed the arm to be ...
  • McCartney, Robert; Boustedt, Jonas; Eckerdal, Anna; Moström, Jan Erik; Sanders, Kate; Thomas, Lynda; Zander, Carol (2009)
    'Threshold concepts' are concepts that, among other things, transform the way a student looks at a discipline. Although the term 'threshold' might suggest that the transformation occurs at a specific point in time, an 'aha' ...
  • Boggis, C. R. M.; Taylor, C. J.; Astley, S. M.; Zwiggelaar, Reyer (2004)
    We describe methods for detecting linear structures in mammograms, and for classifying them into anatomical types (vessels, spicules, ducts, etc). Several different detection methods are compared, using realistic synthetic ...
  • Shen, Qiang; Galea, Michelle (2006)
    FRANTIC, a system inspired by insect behaviour for inducing fuzzy IF-THEN rules, is enhanced to produce rules with linguistic hedges. FRANTIC is evaluated against an earlier version of itself and against several other fuzzy ...
  • Halliwell, Joe; Shen, Qiang (2009-01)
    Over the past two decades a number of different approaches to “fuzzy probabilities” have been presented. The use of the same term masks fundamental differences. This paper surveys these different theories, contrasting and ...
  • Rasmani, Khairul A.; Garibaldi, Jonathan M.; Shen, Qiang; Ellis, Ian O. (IEEE, 2009-08)
    The use of linguistic rulesets is considered one of the greatest advantages that fuzzy classification systems can offer compared to non-fuzzy classification systems. This paper proposes the use of fuzzy thresholds and fuzzy ...
  • Iam-On, N.; Boongoen, Tossapon; Garrett, Simon Martin; Price, Christopher John (2011-12)
    Cluster ensembles have recently emerged as a powerful alternative to standard cluster analysis, aggregating several input data clusterings to generate a single output clustering, with improved robustness and stability. ...
  • Riley, Michael Charles; Clare, Amanda; King, Ross Donald (2007-03-30)
    Background: We are interested in understanding the locational distribution of genes and their functions in genomes, as this distribution has both functional and evolutionary significance. Gene locational distribution is ...
  • Hülse, Martin; Lee, Mark (2010-04)
    Biologically inspired robotics is a well known approach for the design of autonomous intelligent robot systems. Very often it is assumed that biologically inspired models successfully implemented on robots offer new scientific ...
  • Neal, Mark; Sauze, Colin (2012-08-06)
    This paper describes work on a biologically inspired approach to long term power management in sailing robots. Sailing robots offer the promise of a flexible and low cost ocean observation platform which can either hold ...
  • Q, Claire Elizabeth (Aberystwyth UniversityComputer Science, 2013)
    Abstract Can machine learning algorithms be trained to recognise beauty in music? To what extent is human recognition of beauty in music cultural, or crosscultural? Music is prevalent in all human cultures. Music ...
  • Clare, Amanda; King, Ross Donald (2002)
    Motivation: Mutant phenotype growth experiments are an important novel source of functional genomics data which have received little attention in bioinformatics. We applied supervised machine learning to the problem of ...
  • Chen, Zhili (Aberystwyth UniversityComputer Science, 2013)
    ABSTRACT Breast cancer is currently the most common cancer among women worldwide. Mammography has been the most reliable and e ective screening tool for the early detection of breast cancer. Recently, computer-aided ...
  • He, Wenda; Denton, Erika R.E.; Stafford, Kirsten; Zwiggelaar, Reyer (2011-07)
    Mammographic risk assessment is becoming increasingly important in decision making in screening mammography and computer aided diagnosis systems. Strong evidence shows that characteristic patterns of breast tissue as seen ...
  • Zwiggelaar, R. (2008)
    Mammographic risk assessment is concerned with the probability of a woman developing breast cancer. Recently, it has been suggested that the density of linear structures is related to risk. Two independent sets of mammographic ...
  • W He, E. R. E. Denton; Zwiggelaar, R. (2009)
    Strong evidence shows that characteristic patterns of breast tissues as seen on mammography, referred to as mammographic parenchymal patterns, provide crucial information about breast cancer risk. Quantitative evaluation ...

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