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Alain Hennebelle
Alain Hennebelle
Teaching Specialist, University of Melbourne
Verified email at unimelb.edu.au
Title
Cited by
Cited by
Year
A scoping review of integrated blockchain-cloud (BcC) architecture for healthcare: applications, challenges and solutions
L Ismail, H Materwala, A Hennebelle
Sensors 21 (11), 3753, 2021
462021
A formal model of dynamic resource allocation in grid computing environment
L Ismail, B Mills, A Hennebelle
2008 Ninth ACIS International Conference on Software Engineering, Artificial …, 2008
242008
HealthEdge: a machine learning-based smart healthcare framework for prediction of type 2 diabetes in an integrated IoT, edge, and cloud computing system
A Hennebelle, H Materwala, L Ismail
Procedia Computer Science 220, 331-338, 2023
172023
Comparative analysis of machine learning models for students’ performance prediction
L Ismail, H Materwala, A Hennebelle
Advances in Digital Science: ICADS 2021, 149-160, 2021
152021
Secure and Privacy-Preserving Automated End-to-End Integrated IoT-Edge-Artificial Intelligence-Blockchain Monitoring System for Diabetes Mellitus Prediction
L Ismail, A Hennebelle, H Materwala, J Al Kaabi, P Ranjan, ...
arXiv e-prints, arXiv: 2211.07643, 2022
62022
Secure and privacy-preserving automated machine learning operations into end-to-end integrated IoT-edge-artificial intelligence-blockchain monitoring system for diabetes …
A Hennebelle, L Ismail, H Materwala, J Al Kaabi, P Ranjan, ...
Computational and Structural Biotechnology Journal 23, 212-233, 2024
52024
Forecasting COVID-19 infections in gulf cooperation council (GCC) countries using machine learning
L Ismail, H Materwala, A Hennebelle
Proceedings of the 13th International Conference on Computer Modeling and …, 2021
52021
ML-SocMedEmot: Machine Learning Event-based Social Media Emotion Detection Proactive Framework Addressing Mental Health: A Novel Twitter Dataset and Case Study of COVID-19
L Ismail, N Shahin, H Materwala, A Hennebelle, L Frermann
Preprints, 2023
12023
Schools Students Performance with Artificial Intelligence Machine Learning: Features Taxonomy, Methods and Evaluation
A Hennebelle, L Ismail, T Linden
Machine Learning in Educational Sciences, 95-112, 2024
2024
ML-NLPEmot: Machine Learning-Natural Language Processing (NLP) Event-based Emotion Detection Proactive Framework Addressing Mental Health
L Ismail, N Shahin, H Materwala, A Hennebelle, L Frermann
IEEE Access, 2023
2023
Forecasting COVID-19 Infections in Gulf Cooperation Council (GCC) Countries using Machine Learning (preprint)
L Ismail, H Materwala, A Hennebelle
2023
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