Search Results for author: Deshendran Moodley

Found 8 papers, 1 papers with code

Semantic Technologies in Sensor-Based Personal Health Monitoring Systems: A Systematic Mapping Study

no code implementations7 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.

Decision Making

Re-imagining health and well-being in low resource African settings using an augmented AI system and a 3D digital twin

no code implementations29 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.

Continual Learning Decision Making

Brain Structural Saliency Over The Ages

no code implementations12 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.

Automatic deep learning for trend prediction in time series data

no code implementations17 Sep 2020 Kouame Hermann Kouassi, Deshendran Moodley

Recently, Deep Neural Network (DNN) algorithms have been explored for predicting trends in time series data.

AutoML Time Series +1

An analysis of deep neural networks for predicting trends in time series data

no code implementations16 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.

Speech Recognition Time Series +1

Clustering Residential Electricity Consumption Data to Create Archetypes that Capture Household Behaviour in South Africa

1 code implementation11 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.

Clustering Time Series Clustering

Using competency questions to select optimal clustering structures for residential energy consumption patterns

no code implementations1 Jun 2020 Wiebke Toussaint, Deshendran Moodley

During cluster analysis domain experts and visual analysis are frequently relied on to identify the optimal clustering structure.


A Hybrid POMDP-BDI Agent Architecture with Online Stochastic Planning and Plan Caching

no code implementations3 Jul 2016 Gavin Rens, Deshendran Moodley

This article presents an agent architecture for controlling an autonomous agent in stochastic environments.


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