Using the Sensor Web to Detect and Monitor the Spread of Vegetation Fires in Southern Africa. - Andrew Terhorst; Deshendran Moodley; Ingo Simonis; Philip Frost; Graeme McFerren; Stacey Roos; Frans van den Bergh (GSN, 2006)

Position Paper: Researching and Developing Open Architectures for National Health Information Systems in Developing African Countries. - Deshendran Moodley; Anban W. Pillay; Christopher J. Seebregts (FHIES, 2011)

A Semantic Infrastructure for a Knowledge Driven Sensor Web. - Deshendran Moodley; Jules-Raymond Tapamo (SSN, 2011)

An Architecture and Reference Implementation of an Open Health Information Mediator: Enabling Interoperability in the Rwandan Health Information Exchange. - Ryan Crichton; Deshendran Moodley; Anban W. Pillay; Richard Gakuba; Christopher J. Seebregts (FHIES, 2012)

An Architecture for Managing Knowledge and System Dynamism in the Worldwide Sensor Web. - Deshendran Moodley; Ingo Simonis; Jules-Raymond Tapamo (Int. J. Semantic Web Inf. Syst., 2012)

Architectural frameworks for developing national health information systems in low and middle income countries. - Thinasagree Mudaly; Deshendran Moodley; Anban W. Pillay; Christopher J. Seebregts (ES, 2013)

A Case-Study of Ontology-Driven Semantic Mediation of Flower-Visiting Data from Heterogeneous Data-Stores in Three South African Natural History Collections. - Willem Coetzer; Deshendran Moodley; Aurona Gerber (ESWC (Satellite Events), 2013)

An Investigation of Classification Algorithms for Predicting HIV Drug Resistance without Genotype Resistance Testing. - Pascal S. Brandt; Deshendran Moodley; Anban W. Pillay; Christopher J. Seebregts; Tulio de Oliveira (FHIES, 2013)

Panel Position Statements. - Kudakwashe Dube; Deshendran Moodley; Bill Thies; Jane W.-S. Liu; Joseph A. Cafazzo; Oleg Sokolsky (FHIES, 2013)

An Ontology for Regulating eHealth Interoperability in Developing African Countries. - Deshendran Moodley; Christopher J. Seebregts; Anban W. Pillay; Thomas Meyer 002 (FHIES, 2013)

Building Semantic Causal Models to Predict Treatment Adherence for Tuberculosis Patients in Sub-Saharan Africa. - Olukunle A. Ogundele; Deshendran Moodley; Christopher J. Seebregts; Anban W. Pillay (FHIES/SEHC, 2014)

Scenario Testing Using Formal Ontologies. - Hendrina Harmse; Katarina Britz; Aurona Gerber; Deshendran Moodley (ONTO.COM/ODISE@FOIS, 2014)

A knowledge-based system for discovering ecological interactions in biodiversity data-stores of heterogeneous specimen-records: A case-study of flower-visiting ecology. - Willem Coetzer; Deshendran Moodley; Aurona Gerber (Ecol. Informatics, 2014)

Sinuosity Coefficients for Leaf Shape Characterisation. - Jules R. Kala; Serestina Viriri; Deshendran Moodley (NaBIC, 2015)

An Ontology for Proactive Indoor Environmental Quality Monitoring and Control. - Jude A. Adeleke; Deshendran Moodley (SAICSIT, 2015)

An Ontology for Tuberculosis Treatment Adherence Behaviour. - Olukunle A. Ogundele; Deshendran Moodley; Christopher J. Seebregts; Anban W. Pillay (SAICSIT, 2015)

Leaf Classification Using Convexity Measure of Polygons. - Jules Raymond Kala; Serestina Viriri; Deshendran Moodley; Jules-Raymond Tapamo (ICISP, 2016)

Leaf Classification Using Convexity Moments of Polygons. - Jules R. Kala; Serestina Viriri; Deshendran Moodley (ISVC (2), 2016)

A System for a Hand Gesture-Manipulated Virtual Reality Environment. - Andrew Clark; Deshendran Moodley (SAICSIT, 2016)

An Analysis of Artificial Intelligence Techniques in Multiplayer Online Battle Arena Game Environments. - Michael Waltham; Deshen Moodley (SAICSIT, 2016)

A hybrid POMDP-BDI agent architecture with online stochastic planning and plan caching. - Gavin Rens; Deshendran Moodley (Cogn. Syst. Res., 2017)

A knowledge-based system for generating interaction networks from ecological data. - Willem Coetzer; Deshendran Moodley; Aurona Gerber (Data Knowl. Eng., 2017)

Integrating Statistical Machine Learning in a Semantic Sensor Web for Proactive Monitoring and Control. - Jude A. Adeleke; Deshendran Moodley; Gavin Rens; Aderemi Oluyinka Adewumi (Sensors, 2017)

Dynamic Bayesian decision network to represent growers' adaptive pre-harvest burning decisions in a sugarcane supply chain. - C. Sue Price; Deshen Moodley; Anban W. Pillay (SAICSIT, 2018)

Modelling uncertain adaptive decisions: Application to KwaZulu-Natal sugarcane growers. - C. Sue Price; Deshendran Moodley; Anban W. Pillay (FAIR, 2019)

Comparison of clustering techniques for residential load profiles in South Africa. - Wiebke Toussaint; Deshendran Moodley (FAIR, 2019)

An Analysis of Deep Neural Networks for Predicting Trends in Time Series Data. - Kouame Hermann Kouassi; Deshendran Moodley (SACAIR, 2020)

A system for pose analysis and selection in virtual reality environments. - Andrew Clark; Anban W. Pillay; Deshendran Moodley (SAICSIT, 2020)

Identifying optimal clustering structures for residential energy consumption patterns using competency questions. - Wiebke Toussaint; Deshendran Moodley (SAICSIT, 2020)

Using competency questions to select optimal clustering structures for residential energy consumption patterns. - Wiebke Toussaint; Deshendran Moodley (CoRR, 2020)

Automating Cluster Analysis to Generate Customer Archetypes for Residential Energy Consumers in South Africa. - Wiebke Toussaint; Deshendran Moodley (CoRR, 2020)

Automatic deep learning for trend prediction in time series data. - Kouame Hermann Kouassi; Deshendran Moodley (CoRR, 2020)

Guest Editorial: FAIR 2019 special issue. - Deshendran Moodley; Marelie Hattingh Davel (South Afr. Comput. J., 2020)

Clustering Residential Electricity Consumption Data to Create Archetypes that Capture Household Behaviour in South Africa. - Wiebke Toussaint; Deshendran Moodley (South Afr. Comput. J., 2020)

Automated deep learning for trend prediction in time series data. - Kouame Hermann Kouassi; Deshendran Moodley (FUSION, 2021)

An Agent Architecture for Knowledge Discovery and Evolution. - Tezira Wanyana; Deshendran Moodley (KI, 2021)

Exploring Graph Neural Networks for Stock Market Prediction on the JSE. - Kialan Pillay; Deshendran Moodley (SACAIR, 2021)

Deep Neural Networks For Online Trend Prediction. - Morgan Blem; Chesney Cristaudo; Deshendran Moodley (FUSION, 2022)

Combining Machine Learning and Bayesian Networks for ECG Interpretation and Explanation. - Tezira Wanyana; Mbithe Nzomo; C. Sue Price; Deshendran Moodley (ICT4AWE, 2022)

A Personal Health Agent for Decision Support in Arrhythmia Diagnosis. - Tezira Wanyana; Mbithe Nzomo; C. Sue Price; Deshendran Moodley (ICT4AWE (Revised Selected Papers), 2022)

Brain Structural Saliency over the Ages. - Daniel Taylor; Jonathan P. Shock; Deshendran Moodley; Jonathan Ipser; Matthias Treder (LOD (2), 2022)

ST-GNNs for Weather Prediction in South Africa. - Mikhail Davidson; Deshendran Moodley (SACAIR, 2022)

Defeasible Justification Using the KLM Framework. - Steve Wang; Thomas Meyer 002; Deshendran Moodley (SACAIR, 2022)

An adaptive, probabilistic, cognitive agent architecture for modelling sugarcane growers' operational decision-making. - Catherine Susan Price; Deshen Moodley; Anban W. Pillay; Gavin Rens (South Afr. Comput. J., 2022)

Re-imagining Health and Well-being in Low Resource African Settings using an Augmented AI System and a 3D Digital Twin. - Deshendran Moodley; Christopher J. Seebregts (AI4DT&CP@IJCAI, 2023)

Semantic Technologies in Sensor-Based Personal Health Monitoring Systems: A Systematic Mapping Study. - Mbithe Nzomo; Deshendran Moodley (CoRR, 2023)

Integrating Knowledge Graphs and Bayesian Networks: A Hybrid Approach for Explainable Disease Risk Prediction. - Mbithe Nzomo; Deshendran Moodley (COMPSAC, 2025)