Now showing items 1-2 of 2

    • Image-based classification of bladder state using electrical impedance tomography 

      Dunne, Eoghan; Santorelli, Adam; McGinley, Brian; Leader, Geraldine; O'Halloran, Martin; Porter, Emily (IOP Publishing, 2018-12-03)
      Objective: In this study, we examine the potential of using machine learning classification to determine the bladder state ( not full , full ) with electrical impedance tomography (EIT) images of the pelvic region. Accurate ...
    • Multi-nodal short-term energy forecasting using smart meter data 

      Hayes, Barry P.; Gruber, Jorn K.; Prodanovic, Milan (Institution of Engineering and Technology (IET), 2018-06-10)
      This paper deals with the short-term forecasting of electrical energy demands at the local level, incorporating advanced metering infrastructure (AMI), or ‘smart meter’ data. It provides a study of the effects of aggregation ...