Recent Submissions

  • Deep learning based approaches for imitation learning. 

    Hussein, Ahmed (Robert Gordon University School of Computing Science and Digital Media, 2018-05-01)
    HUSSEIN, A. 2018. Deep learning based approaches for imitation learning. Robert Gordon University, PhD thesis.
    Imitation learning refers to an agent's ability to mimic a desired behaviour by learning from observations. The field is rapidly gaining attention due to recent advances in computational and communication capabilities as ...
  • Change detection for activity recognition. 

    Bashir, Sulaimon A. (Robert Gordon University School of Computing Science and Digital Media, 2017-11-01)
    BASHIR, S.A. 2017. Change detection for activity recognition. Robert Gordon University, PhD thesis.
    Activity Recognition is concerned with identifying the physical state of a user at a particular point in time. Activity recognition task requires the training of classification algorithm using the processed sensor data ...
  • Domain-specific lexicon generation for emotion detection from text. 

    Bandhakavi, Anil (Robert Gordon University School of Computing and Digital Media, 2018-01-01)
    BANDHAKAVI, A. 2018. Domain-specific lexicon generation for emotion detection from text. Robert Gordon University, PhD thesis.
    Emotions play a key role in effective and successful human communication. Text is popularly used on the internet and social media websites to express and share emotions, feelings and sentiments. However useful applications ...
  • Effective and efficient estimation of distribution algorithms for permutation and scheduling problems. 

    Ayodele, Mayowa (Robert Gordon University School of Computing and Digital Media, 2018-05-01)
    AYODELE, M. 2018. Effective and efficient estimation of distribution algorithms for permutation and scheduling problems. Robert Gordon University, PhD thesis.
    Estimation of Distribution Algorithm (EDA) is a branch of evolutionary computation that learn a probabilistic model of good solutions. Probabilistic models are used to represent relationships between solution variables ...
  • Simulation and optimisation of the separation process in offshore oil and gas platforms. 

    Veleshki, Stoyan Ivanov (Robert Gordon University School of Computing Science and Digital Media, 2017-10-01)
    VELESHKI, S. 2017. Simulation and optimisation of the separation process in offshore oil and gas platforms. Robert Gordon University, MRes thesis.
    Hydrocarbon separation in offshore oil and gas platforms is the process that transforms extracted crude oil into transportable oil and gas. Temperatures and pressures of the separation system can be adjusted to modify the ...
  • Cognitive modelling and control of human error processes in human-computer interaction with safety critical IT systems in telehealth. 

    Alwawi, Ibrahim (Robert Gordon University School of Computing Science and Digital Media, 2017-12-01)
    ALWAWI, I. 2017. Cognitive modelling and control of human error processes in human-computer interaction with safety critical IT systems in telehealth. Robert Gordon University, PhD thesis.
    The field of telehealth has developed rapidly in recent years. It provides medical support particularly to those who are living in remote areas and in emergency cases. Although developments in both technology and practice ...
  • Architecting the deployment of cloud-hosted services for guaranteeing multitenancy isolation. 

    Ochei, Laud Charles (Robert Gordon University School of Computing Science and Digital Media, 2017-05-01)
    OCHEI, L.C. 2017. Architecting the deployment of cloud-hosted services for guaranteeing multitenancy isolation. Robert Gordon University, PhD thesis.
    In recent years, software tools used for Global Software Development (GSD) processes (e.g., continuous integration, version control and bug tracking) are increasingly being deployed in the cloud to serve multiple users. ...
  • CAWIML: a computer assisted web interviewing mark-up language. 

    Lloret Perez, Jose Miguel (Robert Gordon University School of Computing Science and Digital Media, 2016-10-01)
    LLORET PEREZ, J.M. 2016. CAWIML: a computer assisted web interviewing mark-up language. Robert Gordon University, MRes thesis.
    Computer-Assisted Web Interviewing (CAWI) is the new mode of conducting surveys through web browsers. This on-line solution extends the traditional paper questionnaire with functionality to inform the order of questions, ...
  • Insourcing a government information system: a case study from Malaysia. 

    Omar, Azmi (Robert Gordon University School of Computing Science and Digital Media, 2017-06-01)
    OMAR, A. 2017. Insourcing a government information system: a case study from Malaysia. Robert Gordon University, PhD thesis.
    Insourcing, outsourcing and co-sourcing are three approaches to procuring an information system. This research contributes to the body of knowledge on insourcing an information system; exploring and discussing the enabling ...
  • Informed selection and use of training examples for knowledge refinement. 

    Wiratunga, Nirmalie (Robert Gordon University School of Computing, 2000-12-31)
    WIRATUNGA, N.C. 2000. Informed selection and use of training examples for knowledge refinement. Robert Gordon University, PhD thesis.
    Knowledge refinement tools seek to correct faulty rule-based systems by identifying and repairing faults indicated by training examples that provide evidence of faults. This thesis proposes mechanisms that improve the ...
  • A data mining approach to ontology learning for automatic content-related question-answering in MOOCs. 

    Shatnawi, Safwan (Robert Gordon University School of Computing Science and Digital Media, 2016-10-01)
    SHATNAWI, S.M.I. 2016. A data mining approach to ontology learning for automatic content-related question-answering in MOOCs. Robert Gordon University, PhD thesis.
    The advent of Massive Open Online Courses (MOOCs) allows massive volume of registrants to enrol in these MOOCs. This research aims to offer MOOCs registrants with automatic content related feedback to fulfil their cognitive ...
  • On pruning and feature engineering in Random Forests. 

    Fawagreh, Khaled (Robert Gordon University Faculty of Design and Technology, School of Computing Science and Digital Media, 2016-10-01)
    FAWAGREH, K. 2016. On pruning and feature engineering in Random Forests. Robert Gordon University, PhD thesis.
    Random Forest (RF) is an ensemble classification technique that was developed by Leo Breiman over a decade ago. Compared with other ensemble techniques, it has proved its accuracy and superiority. Many researchers, ...
  • 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 ...

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