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Deshendran Moodley
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2020 – today
- 2023
- [c34]Deshendran Moodley, Christopher J. Seebregts:
Re-imagining Health and Well-being in Low Resource African Settings using an Augmented AI System and a 3D Digital Twin. AI4DT&CP@IJCAI 2023: 23-40 - [i8]Deshendran Moodley, Christopher J. Seebregts:
Re-imagining health and well-being in low resource African settings using an augmented AI system and a 3D digital twin. CoRR abs/2306.01772 (2023) - [i7]Mbithe Nzomo
, Deshendran Moodley:
Semantic Technologies in Sensor-Based Personal Health Monitoring Systems: A Systematic Mapping Study. CoRR abs/2306.04335 (2023) - 2022
- [j8]Catherine Susan Price
An adaptive, probabilistic, cognitive agent architecture for modelling sugarcane growers' operational decision-making. South Afr. Comput. J. 34(1) (2022) - [c33]Morgan Blem, Chesney Cristaudo, Deshendran Moodley:
Deep Neural Networks For Online Trend Prediction. FUSION 2022: 1-8 - [c32]Tezira Wanyana
Combining Machine Learning and Bayesian Networks for ECG Interpretation and Explanation. ICT4AWE 2022: 81-92 - [c31]Tezira Wanyana
A Personal Health Agent for Decision Support in Arrhythmia Diagnosis. ICT4AWE (Revised Selected Papers) 2022: 385-407 - [c30]Daniel Taylor, Jonathan P. Shock
Brain Structural Saliency over the Ages. LOD (2) 2022: 525-548 - [c29]Mikhail Davidson, Deshendran Moodley
ST-GNNs for Weather Prediction in South Africa. SACAIR 2022: 93-107 - [c28]Steve Wang
Defeasible Justification Using the KLM Framework. SACAIR 2022: 187-201 - [i6]Daniel Taylor, Jonathan P. Shock, Deshendran Moodley, Jonathan Ipser, Matthias Treder:
Brain Structural Saliency Over The Ages. CoRR abs/2202.11690 (2022) - 2021
- [c27]Kouame Hermann Kouassi, Deshendran Moodley:
Automated deep learning for trend prediction in time series data. FUSION 2021: 1-8 - [c26]Tezira Wanyana
An Agent Architecture for Knowledge Discovery and Evolution. KI 2021: 241-256 - [c25]Kialan Pillay
Exploring Graph Neural Networks for Stock Market Prediction on the JSE. SACAIR 2021: 95-110 - 2020
- [j7]Deshendran Moodley
Guest Editorial: FAIR 2019 special issue. South Afr. Comput. J. 32(2) (2020) - [j6]Wiebke Toussaint
Clustering Residential Electricity Consumption Data to Create Archetypes that Capture Household Behaviour in South Africa. South Afr. Comput. J. 32(2) (2020) - [c24]Kouame Hermann Kouassi
An Analysis of Deep Neural Networks for Predicting Trends in Time Series Data. SACAIR 2020: 119-140 - [c23]Wiebke Toussaint, Deshendran Moodley:
Identifying optimal clustering structures for residential energy consumption patterns using competency questions. SAICSIT 2020: 66-73 - [c22]Andrew Clark, Anban W. Pillay, Deshendran Moodley:
A system for pose analysis and selection in virtual reality environments. SAICSIT 2020: 210-216 - [i5]Wiebke Toussaint, Deshendran Moodley:
Using competency questions to select optimal clustering structures for residential energy consumption patterns. CoRR abs/2006.00934 (2020) - [i4]Wiebke Toussaint, Deshendran Moodley:
Automating Cluster Analysis to Generate Customer Archetypes for Residential Energy Consumers in South Africa. CoRR abs/2006.07197 (2020) - [i3]Kouame Hermann Kouassi, Deshendran Moodley:
An analysis of deep neural networks for predicting trends in time series data. CoRR abs/2009.07943 (2020) - [i2]Kouame Hermann Kouassi, Deshendran Moodley:
Automatic deep learning for trend prediction in time series data. CoRR abs/2009.08510 (2020)
2010 – 2019
- 2019
- [c21]Wiebke Toussaint, Deshendran Moodley:
Comparison of clustering techniques for residential load profiles in South Africa. FAIR 2019: 117-132 - [c20]C. Sue Price, Deshendran Moodley, Anban W. Pillay:
Modelling uncertain adaptive decisions: Application to KwaZulu-Natal sugarcane growers. FAIR 2019: 145-160 - 2018
- [c19]C. Sue Price
Dynamic Bayesian decision network to represent growers' adaptive pre-harvest burning decisions in a sugarcane supply chain. SAICSIT 2018: 89-98 - 2017
- [j5]Gavin Rens
A hybrid POMDP-BDI agent architecture with online stochastic planning and plan caching. Cogn. Syst. Res. 43: 1-20 (2017) - [j4]Willem Coetzer, Deshendran Moodley
A knowledge-based system for generating interaction networks from ecological data. Data Knowl. Eng. 112: 55-78 (2017) - [j3]Jude A. Adeleke
Integrating Statistical Machine Learning in a Semantic Sensor Web for Proactive Monitoring and Control. Sensors 17(4): 807 (2017) - 2016
- [c18]Jules Raymond Kala, Serestina Viriri
Leaf Classification Using Convexity Measure of Polygons. ICISP 2016: 51-60 - [c17]Jules R. Kala, Serestina Viriri
Leaf Classification Using Convexity Moments of Polygons. ISVC (2) 2016: 330-339 - [c16]Andrew Clark, Deshendran Moodley
A System for a Hand Gesture-Manipulated Virtual Reality Environment. SAICSIT 2016: 10:1-10:10 - [c15]Michael Waltham, Deshen Moodley
An Analysis of Artificial Intelligence Techniques in Multiplayer Online Battle Arena Game Environments. SAICSIT 2016: 45:1-45:7 - [i1]Gavin Rens, Deshendran Moodley:
A Hybrid POMDP-BDI Agent Architecture with Online Stochastic Planning and Plan Caching. CoRR abs/1607.00656 (2016) - 2015
- [c14]Jules R. Kala, Serestina Viriri
Sinuosity Coefficients for Leaf Shape Characterisation. NaBIC 2015: 141-150 - [c13]Jude A. Adeleke
An Ontology for Proactive Indoor Environmental Quality Monitoring and Control. SAICSIT 2015: 2:1-2:10 - [c12]Olukunle A. Ogundele, Deshendran Moodley
An Ontology for Tuberculosis Treatment Adherence Behaviour. SAICSIT 2015: 30:1-30:10 - 2014
- [j2]Willem Coetzer
A knowledge-based system for discovering ecological interactions in biodiversity data-stores of heterogeneous specimen-records: A case-study of flower-visiting ecology. Ecol. Informatics 24: 47-59 (2014) - [c11]Olukunle A. Ogundele, Deshendran Moodley
Building Semantic Causal Models to Predict Treatment Adherence for Tuberculosis Patients in Sub-Saharan Africa. FHIES/SEHC 2014: 81-95 - [c10]Hendrina Harmse, Katarina Britz, Aurona Gerber, Deshendran Moodley:
Scenario Testing Using Formal Ontologies. ONTO.COM/ODISE@FOIS 2014 - 2013
- [c9]Thinasagree Mudaly, Deshendran Moodley
Architectural frameworks for developing national health information systems in low and middle income countries. ES 2013: 1-9 - [c8]Willem Coetzer, Deshendran Moodley
A Case-Study of Ontology-Driven Semantic Mediation of Flower-Visiting Data from Heterogeneous Data-Stores in Three South African Natural History Collections. ESWC (Satellite Events) 2013: 87-100 - [c7]Kudakwashe Dube, Deshendran Moodley, Bill Thies, Jane W.-S. Liu, Joseph A. Cafazzo, Oleg Sokolsky:
Panel Position Statements. FHIES 2013: 22-31 - [c6]Deshendran Moodley, Christopher J. Seebregts
An Ontology for Regulating eHealth Interoperability in Developing African Countries. FHIES 2013: 107-124 - [c5]Pascal S. Brandt
An Investigation of Classification Algorithms for Predicting HIV Drug Resistance without Genotype Resistance Testing. FHIES 2013: 236-253 - 2012
- [j1]Deshendran Moodley
An Architecture for Managing Knowledge and System Dynamism in the Worldwide Sensor Web. Int. J. Semantic Web Inf. Syst. 8(1): 64-88 (2012) - [c4]Ryan Crichton, Deshendran Moodley
An Architecture and Reference Implementation of an Open Health Information Mediator: Enabling Interoperability in the Rwandan Health Information Exchange. FHIES 2012: 87-104 - 2011
- [c3]Deshendran Moodley
Position Paper: Researching and Developing Open Architectures for National Health Information Systems in Developing African Countries. FHIES 2011: 129-139 - [c2]Deshendran Moodley, Jules-Raymond Tapamo:
A Semantic Infrastructure for a Knowledge Driven Sensor Web. SSN 2011: 39-54
2000 – 2009
- 2006
- [c1]Andrew Terhorst
Using the Sensor Web to Detect and Monitor the Spread of Vegetation Fires in Southern Africa. GSN 2006: 239-251
Coauthor Index
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