no code implementations • 7 Jun 2023 • Mbithe Nzomo, Deshendran Moodley
This study evaluates the state of the art in the use of semantic technologies in sensor-based personal health monitoring systems.
no code implementations • 29 May 2023 • Deshendran Moodley, Christopher Seebregts
This paper discusses and explores the potential and relevance of recent developments in artificial intelligence (AI) and digital twins for health and well-being in low-resource African countries.
no code implementations • 12 Jan 2022 • Daniel Taylor, Jonathan Shock, Deshendran Moodley, Jonathan Ipser, Matthias Treder
Brain Age (BA) estimation via Deep Learning has become a strong and reliable bio-marker for brain health, but the black-box nature of Neural Networks does not easily allow insight into the features of brain ageing. We trained a ResNet model as a BA regressor on T1 structural MRI volumes from a small cross-sectional cohort of 524 individuals.
no code implementations • 17 Sep 2020 • Kouame Hermann Kouassi, Deshendran Moodley
Recently, Deep Neural Network (DNN) algorithms have been explored for predicting trends in time series data.
no code implementations • 16 Sep 2020 • Kouame Hermann Kouassi, Deshendran Moodley
While TreNet was shown to have superior performance for trend prediction to other DNN and traditional ML approaches, the validation method used did not take into account the sequential nature of time series data sets and did not deal with model update.
1 code implementation • 11 Jun 2020 • Wiebke Toussaint, Deshendran Moodley
While internal clustering validation measures are well established in the electricity domain, they are limited for selecting useful clusters.
no code implementations • 1 Jun 2020 • Wiebke Toussaint, Deshendran Moodley
During cluster analysis domain experts and visual analysis are frequently relied on to identify the optimal clustering structure.
no code implementations • 3 Jul 2016 • Gavin Rens, Deshendran Moodley
This article presents an agent architecture for controlling an autonomous agent in stochastic environments.