Recent Submissions

  • ALPH : a DSAL-based programming model for complexity management in pervasive healthcare applications 

    Munnelly, Jennifer (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2010)
    Healthcare information, for example patient records, must be available to appropriate professionals at all times. The application of pervasive technology to healthcare means that those professionals are using such technology ...
  • STAK : Social skills training for autistic kids: a personalised dual-adaptive learning system for caregivers 

    Doyle, Theresa (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2016)
    The aim of this research is to design, develop and evaluate a personalised dual-adaptive learning system for caregivers1 to help them meet the challenge of teaching social interaction skills to children diagnosed with ...
  • A convex optimisation approach to optimal control in queueing systems 

    Valls, Víctor (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2017)
    Convex optimisation and max-weight are central topics in networking and control, and having a clear understanding of their relationship and what this involves is crucial from a theoretical and practical point of view. In ...
  • Texture synthesis based hybridisation for images and geometry 

    Risser, Eric (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2012)
    Texture synthesis deals with the example based creation of highly repetitive information. It is an important and widely studied problem in the computer graphics community due to the ever increasing need for art. Texture ...
  • Fault localization in Distributed Adaptive Systems 

    Raj, Amit (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2016)
    Modern systems that execute in ubiquitous environments must be adaptive in order to maintain an acceptable quality of service. As in traditional distributed systems, faults in such systems are likely to propagate across ...

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