Recent Submissions

  • Cloud computing adoption by SMEs in Sub-Saharan Africa. 

    Abubakar, Dahiru Abubakar (Robert Gordon University Faculty of Design and Technology. School of Computing Science and Digital Media., 2016-01)
    ABUBAKAR, D.A. 2016. Cloud computing adoption by SMEs in Sub-Saharan Africa. Robert Gordon University, PhD thesis.
    This research contributes to the growing body of research on cloud computing and addresses the paucity of research on cloud computing adoption, as well as information systems (IS) and information communication technologies ...
  • Contextual lexicon-based sentiment analysis for social media. 

    Muhammad, Aminu (Robert Gordon University Faculty of Design and Technology. School of Computing Science and Digital Media., 2016-05)
    MUHAMMAD, A.B. 2016. Contextual lexicon-based sentiment analysis for social media. Robert Gordon University, PhD thesis.
    Sentiment analysis concerns the computational study of opinions expressed in text. Social media domains provide a wealth of opinionated data, thus, creating a greater need for sentiment analysis. Typically, sentiment ...
  • The role of Walsh structure and ordinal linkage in the optimisation of pseudo-Boolean functions under monotonicity invariance. 

    Christie, Lee A. (Robert Gordon University Faculty of Design and Technology. School of Computing Science and Digital Media., 2016-02)
    CHRISTIE, L.A. 2016. The role of Walsh structure and ordinal linkage in the optimisation of pseudo-Boolean functions under monotonicity invariance. Robert Gordon University, PhD thesis.
    Optimisation heuristics rely on implicit or explicit assumptions about the structure of the black-box fitness function they optimise. A review of the literature shows that understanding of structure and linkage is helpful ...
  • Combining search strategies for distributed constraint satisfaction. 

    Magaji, Amina Sambo-Muhammad (Robert Gordon University School of Computing Science and Digital Media, 2015-08)
    Many real-life problems such as distributed meeting scheduling, mobile frequency allocation and resource allocation can be solved using multi-agent paradigms. Distributed constraint satisfaction problems (DisCSPs) is a ...
  • Autonomic behavioural framework for structural parallelism over heterogeneous multi-core systems. 

    Goli, Mehdi (Robert Gordon University School of Computing Science and Digital Media, 2015-05)
    With the continuous advancement in hardware technologies, significant research has been devoted to design and develop high-level parallel programming models that allow programmers to exploit the latest developments in ...
  • An application of genetic algorithms to chemotherapy treatment. 

    Petrovski, Andrei (Robert Gordon University School of Computing Science & Digital Media, 1998-12)
    The present work investigates methods for optimising cancer chemotherapy within the bounds of clinical acceptability and making this optimisation easily accessible to oncologists. Clinical oncologists wish to be able to ...
  • Introspective knowledge acquisition for case retrieval networks in textual case base reasoning. 

    Chakraborti, Sutanu (Robert Gordon University School of Computing Science and Digital Media., 2007-08)
    Textual Case Based Reasoning (TCBR) aims at effective reuse of information contained in unstructured documents. The key advantage of TCBR over traditional Information Retrieval systems is its ability to incorporate ...
  • Adaptive heterogeneous parallelism for semi-empirical lattice dynamics in computational materials science. 

    Garba, Michael (Robert Gordon University School of Computing Science and Digital Media, 2015-04)
    With the variability in performance of the multitude of parallel environments available today, the conceptual overhead created by the need to anticipate runtime information to make design-time decisions has become ...
  • An association rule dynamics and classification approach to event detection and tracking in Twitter. 

    Adedoyin-Olowe, Mariam (Robert Gordon University School of Computing Science and Digital Media, 2015-05)
    Twitter is a microblogging application used for sending and retrieving instant on-line messages of not more than 140 characters. There has been a surge in Twitter activities since its launch in 2006 as well as steady ...
  • Computational aspects of cellular intelligence and their role in artificial intelligence. 

    Gerrard, Claire E. (Robert Gordon University School of Computing Science and Digital Media, 2014-07)
    The work presented in this thesis is concerned with an exploration of the computational aspects of the primitive intelligence associated with single-celled organisms. The main aim is to explore this “Cellular Intelligence” ...
  • What is the influence of genre during the perception of structured text for retrieval and search? 

    Clark, Malcolm John (Robert Gordon University School of Computing Science and Digital Media, 2014-10)
    This thesis presents an investigation into the high value of structured text (or form) in the context of genre within Information Retrieval. In particular, how are these structured texts perc ...
  • Role of semantic indexing for text classification. 

    Sani, Sadiq (Robert Gordon University School of Computing Science and Digital Media, 2014-09)
    The Vector Space Model (VSM) of text representation suffers a number of limitations for text classification. Firstly, the VSM is based on the Bag-Of-Words (BOW) assumption where terms from the indexing vocabulary are ...
  • Content based video retrieval via spatial-temporal information discovery. 

    Wang, Lei (Robert Gordon University School of Computing Science and Digital Media, 2013-12)
    Content based video retrieval (CBVR) has been strongly motivated by a variety of realworld applications. Most state-of-the-art CBVR systems are built based on Bag-of-visual- Words (BovW) framework for visual resources ...
  • Multi-objective particle swarm optimisation: methods and applications. 

    Al Moubayed, Noura (Robert Gordon University School of Computing Science and Digital Media, 2014-02)
    Solving real life optimisation problems is a challenging engineering venture. Since the early days of research on optimisation it was realised that many problems do not simply have one optimisation objective. This led to ...
  • An investigation into the cognitive effects of instructional interface visualisations. 

    Akinlofa, Olurotimi Richard (Robert Gordon University School of Computing Science and Digital Media, 2013-09)
    An investigation is conducted into the cognitive effects of using different computer based instructions media in acquisition of specific novel human skills. With recent rapid advances in computing and multimedia instructional ...
  • Hybrid models for combination of visual and textual features in context-based image retrieval. 

    Kaliciak, Leszek (Robert Gordon University School of Computing Science and Digital Media, 2013-07)
    Visual Information Retrieval poses a challenge to intelligent information search systems. This is due to the semantic gap, the difference between human perception (information needs) and the machine representation of ...
  • Integrating content and semantic representations for music recommendation. 

    Horsburgh, Ben (Robert Gordon University School of Computing Science, 2013-07)
    Music recommender systems are used by millions of people every day to discover new and exciting music. Central to making recommendations is the representation of each track, which may be used to calculate similarity. ...
  • Experimental user interface design toolkit for interaction research (IDTR). 

    Golovine, Jean Claude Raymond Rolin (Robert Gordon University School of Computing Science and Digital Media., 2013-05)
    The research reported and discussed in this thesis represents a novel approach to User Interface evaluation and optimisation through cognitive modelling. This is achieved through the development and testing of a toolkit ...
  • Bayesian network structure learning using characteristic properties of permutation representations with applications to prostate cancer treatment. 

    Regnier-Coudert, Olivier (Robert Gordon University School of Computing Science and Digital Media, 2013-05)
    Over the last decades, Bayesian Networks (BNs) have become an increasingly popular technique to model data under presence of uncertainty. BNs are probabilistic models that represent relationships between variables by ...
  • Approximating true relevance model in relevance feedback. 

    Zhang, Peng (Robert Gordon University School of Computing Science and Digital Media, 2013-01)
    Relevance is an essential concept in information retrieval (IR) and relevance estimation is a fundamental IR task. It involves not only document relevance estimation, but also estimation of user's information need. ...

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