Browsing Cyfrifiadureg / Computer Science by Title

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Browsing Cyfrifiadureg / Computer Science by Title

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  • Santos, Paulo E.; Fenelon, Valquiria; Dee, Hannah (2010)
  • Dee, Hannah; Santos, Paulo E.; Fenelon, Valquiria (2010)
  • Lee, Mark; Barnes, David Preston; Hardy, Nigel (1983)
    This paper describes the main aims of a new research project concerned with the implementation of automatic error recovery facilities in industrial robotics. An approach is discussed in which an existing manufacturing work ...
  • Barnes, David Preston; Hardy, Nigel (World Scientific, 1995)
  • Pullan, Derek; Tyler, Laurence; Pugh, Stephen; Barnes, David Preston (2010-08-29)
    A major mission driver for unmanned space exploration is to maximise science data return whilst minimising ground-based human intervention and hence associated operations costs. Future robotic exploration such as the ESA ...
  • Lee, Mark; Hardy, Nigel; Barnes, David Preston (1983)
  • Fu, Xin; Shen, Qiang (2007-06)
    Compositional Modelling (CM) has been applied to synthesize automatically plausible scenarios in many problem domains with promising results. However, due to the lack of capability to deal with imprecise or illdefined ...
  • Bell, Jonathan; Snooke, Neal; Price, Chris (2005-08)
    Functional modeling is in use for the interpretation of the results of model based simulation of engineered systems for design analysis, enabling the automatic generation of a textual design analysis report that expresses ...
  • Pinciroli, Carlo; Birattari, Mauro; Tuci, Elio; Dorigo, Marco; Del Rey Zapatero, Marco; Vinko, Thamas; Izzo, Dario (Springer Berlin Heidelberg, 2008-09-01)
    We present a distributed control strategy that lets a swarm of satellites autonomously form a lattice in orbit around a planet. The system, based on the artificial potential field approach, proposes a novel way to split ...
  • Price, Chris; Snooke, Neal; Lewis, Stuart (2006-06)
    Software support for the automotive electrical design process is vital, as many of the safety analysis tasks needing to be carried out, while complex, are repetitive and time consuming. Such support is required throughout ...
  • Meng, Qinggang; Lee, Mark (2004)
    The worldwide population of elderly people is rapidly growing and is set to become a major problem in the coming decades. This phenomenon has the potential to create a huge market for domestic service robots that can assist ...
  • Meng, Qinggang; Lee, Mark; Holstein, Horst (IEEE, 2002-12)
    In this paper, we describe the incorporation of learning and reuse of experience into behavior-based service robot systems. Experience is context based, and the learned experience is associated with its relevant behaviors. ...
  • Daly, Ronan; Shen, Qiang (2009-06)
    Bayesian networks are a useful tool in the representation of uncertain knowledge. This paper proposes a new algorithm called ACO-E, to learn the structure of a Bayesian network. It does this by conducting a search through ...
  • Daly, Ronan; Shen, Qiang; Aitken, Stuart (2011-05)
    Bayesian networks have become a widely used method in the modelling of uncertain knowledge. Owing to the difficulty domain experts have in specifying them, techniques that learn Bayesian networks from data have become ...
  • Garrett, Simon; King, Ross Donald; Coghill, George (2004-12-01)
  • King, Ross Donald; Coghill, George; Garrett, Simon (2002)
  • Thomas, Lynda; Woodbury, John; Jarman, E.; Ratcliffe, Mark (2002-03)
    This paper reports on the implication of different preferred learning styles on students' performance in the introductory programming sequence and on work in progress on how to accommodate these different styles.Students ...
  • 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 ...

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