OpenAIR @ RGU is a digital repository which contains examples of research publications and related content produced by staff and graduate students at Robert Gordon University. Information about OpenAIR is available in a Guide and, to submit content, RGU researchers should contact publications@rgu.ac.uk.

  • Embodied carbon emissions of buildings : a case study of an apartment building in the UK. 

    Fernando, Nirodha Gayani; Ekundayo, Damilola; Victoria, Michele Florencia (CIOB (ORGANISERS), 2018-06-29)
    FERNANDO, N.G., EKUNDAYO, D.O. and VICTORIA, M.F. 2018. Embodied carbon emissions of buildings : a case study of an apartment building in the UK. Presented at the 7th World construction symposium 2018: built asset sustainability; rethinking design, construction and operations, 29 June - 01 July 2018, Colombo, Sri Lanka.
    The UK government has set a target to significantly reduce UK greenhouse gas emissions by 2050. 47% of all UK CO2 emissions are linked to the construction and operation of the built environment. Buildings emit two types ...
  • Theorizing social fear and contested urbanism of displacement, alienation and contemporary processes of political, economic and religious-induced mobility: a cross cultural study. 

    Zaman, Quazi Mahtab M.; Troiani, Igea; Altenberger, Iris; Cervera, Rosa (ORBICOM (ORGANISERS) https://www.orbicomlima2018.ulima.edu.pe/copy-of-inicio, 2018-05-08)
    ZAMAN, Q.M., TROIANI, I., ALTENBERGER, I. and CERVERA, R. 2018. Theorizing social fear and contested urbanism of displacement, alienation and contemporary processes of political, economic and religious-induced mobility: a cross cultural study. Presented at the 7th World meeting of UNESCO chairs in communication international symposium: communication, city and public space, 8-10 May 2018, Lima, Peru.
    Fear is an intrinsic human response to social insecurity and epitomises the perceived disparity in anticipation and engagement with the 'other'. Fear of other ethnic minority groups and their involvement or not in the ...
  • GramError: a quality metric for machine generated songs. 

    Davies, Craig; Wiratunga, Nirmalie; Martin, Kyle (Springer https://doi.org/10.1007/978-3-030-04191-5_16, 2018-11-16)
    DAVIES, C., WIRATUNGA, N. and MARTIN, K. 2018. GramError: a quality metric for machine generated songs. In Bramer, M. and PETRIDIS, M. (eds.) Artificial intelligence xxxv: proceedings of the 38th British Computer Society's specialist group on artificial intelligence (SGAI) annual international artificial intelligence conference (AI-2018), 11-13 December 2018, Cambridge, UK. Lecture notes in artificial intelligence, 11311. Cham: Springer [online], pages 184-190. Available from: https://doi.org/10.1007/978-3-030-04191-5_16
    This paper explores whether a simple grammar-based metric can accurately predict human opinion of machine-generated song lyrics quality. The proposed metric considers the percentage of words written in natural English and ...
  • Informed pair selection for self-paced metric learning in Siamese neural networks. 

    Martin, Kyle; Wiratunga, Nirmalie; Massie, Stewart; Clos, Jérémie (Springer https://doi.org/10.1007/978-3-030-04191-5_3, 2018-11-16)
    MARTIN, K., WIRATUNGA, N., MASSIE, S. and CLOS, J. 2018. Informed pair selection for self-paced metric learning in Siamese neural networks. In Bramer, M. and PETRIDIS, M. (eds.) Artificial intelligence xxxv: proceedings of the 38th British Computer Society's specialist group on artificial intelligence (SGAI) annual international artificial intelligence conference (AI-2018), 11-13 December 2018, Cambridge, UK. Lecture notes in artificial intelligence, 11311. Cham: Springer [online], pages 34-49. Available from: https://doi.org/10.1007/978-3-030-04191-5_3
    Siamese Neural Networks (SNNs) are deep metric learners that use paired instance comparisons to learn similarity. The neural feature maps learnt in this way provide useful representations for classification tasks. Learning ...
  • Offshore workers and health behaviour change: an exploration using the Theoretical Domains Framework. 

    Gibson Smith, Kathrine Lesley; Paudyal, Vibhu; Quinn, Francis; Klein, Susan; Stewart, Derek C. (Via Medica https://doi.org/10.5603/IMH.2018.0040, 2018-12-19)
    GIBSON SMITH, K., PAUDYAL, V., QUINN, F., KLEIN, S. and STEWART, D. 2018. Offshore workers and health behaviour change: an exploration using the Theoretical Domains Framework. International maritime health [online], 69(4), pages 248-256. Available from: https://doi.org/10.5603/IMH.2018.0040
    Background: Previous research has identified the importance of promoting behaviour change within the offshore workforce. This qualitative study sought to: identify self-care behaviours perceived to require behaviour change ...

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