School of Computing

CAIDS

9

Centre for Augmented Intelligence and Data Science

Research Focus:

Innovative application of artificial intelligence and data science knowledge to develop culturally relevant solutions to socio-economic challenges in South Africa & beyond. This is done through an overarching augmented intelligence theme in which artificial intelligence, machine learning, natural language processing, computer vision, and data science are applied.


Active members of this group:

  • Akinyemi , Lateef
  • Attipoe, David
  • Freeman, Emmanuel
  • Majanga, Vincent
  • Mnkandla, Ernest
  • Moulla, Donatien Koulla

    • Publications

    This page is not necessarily up to date.

    JOURNAL PUBLICATION/S

    Moulla, D.K.; Attipoe, DS; Mnkandla, E; Alain Abran (2024)
    Predictive Model Of Energy Consumption Using Machine Learning: A Case Study Of Residential Buildings In South Africa
    Sustainability
    (16) 11
    pp 4365

    Moulla, D.K.; Mnkandla, E; Alain Abran (2023)
    Evaluation Of Iot Measurement Solutions From A Metrology Perspective
    Computer Systems Science and Engineering
    (47) 2
    pp 2455-2479

    Moulla, D.K.; Mnkandla, E; Alain Abran (2023)
    Systematic Literature Review Of Iot Metrics
    Applied Computer Science
    (19) 1
    pp 64-81

    Kgaugelo Dolo; Mnkandla, E (2023)
    Weighted Voting Stacking Ensemble Method For Highly Skewed Binary Data Distribution
    International Conference on Wireless, Intelligent and Distributed Environment for Communication: WIDECOM 2022 (Lecture Notes on Data Engineering and Communications Technologies)
    (174)
    pp 107-120

    Robert Hans ; Mnkandla, E (2023)
    Using The Pmo To Enforce And Standardize The Attention Of Software Project Managers To Needs Of Software Project Teams
    International Journal of Information Systems and Project Management
    (11) 3
    pp 5-22

    Lutendo Lesley; Mnkandla, E (2023)
    Exploring The Application Of Gamification In The Software Development Process
    Intelligent Computing: Proceedings of the 2023 Computing Conference, Volume 1 (Lecture Notes in Networks and Systems Book 711)
    (711)
    pp 52-68

    Kgaugelo Dolo; Mnkandla, E (2023)
    Differential Evolution-based Weighted Voting Stacking Ensemble Classifier For Highly Skewed Binary Data Distribution
    International Conference on Wireless, Intelligent and Distributed Environment for Communication: WIDECOM 2023 (Lecture Notes on Data Engineering and Communications Technologies)
    (185)
    pp 13-27

    PEER REVIEWED CONFERENCE PROCEEDING PUBLICATION/S

    Misheck Banda; Ernest Ketcha Ngassam; Mnkandla, E (2024)
    Enhancing Classification And Prediction Through The Application Of Hybrid Machine Learning Models
    IST-Africa 2024
    Virtual
    IEEE
    pp 1-12

    Akinyemi , LA; Mbuyu Sumbwanyambe; Mnkandla, E (2024)
    A Holistic Perspective On Next-generation Wireless Networks: Harnessing Federated Learning For Computational Modelling
    2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG2024)
    Omu-Aran, Kwara State, Nigeria
    IEEE
    pp 1-6

    Akinyemi , LA; Peace Precious Aielumoh; Olamide Peter Oshinuga; Mnkandla, E; ; Oluwagbemiga Omotayo Shoewu (2024)
    Application Of Machine Learning And Remote Sensing Techniques For Forecasting Of Rainfall In Nigeria: From The Perspective Of Improved Accuracy
    2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG2024)
    Omu-Aran, Kwara State, Nigeria
    IEEE
    pp 1-6

    Akinyemi , LA; Olamide Peter Oshinuga; Sunday Oladayo Oladejo; Stephen Obono Ekwe; ; Mnkandla, E (2024)
    Optimizing Network Management And Virtualization Using Machine Learning Approach: Network Slice Prediction
    2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG2024)
    Omu-Aran, Kwara State, Nigeria
    IEEE
    pp 1-6

    Senyeki Marebane ; Mnkandla, E (2023)
    Analysing Selected South African E-government Failures Through The Theory Of Unintended Consequences
    IST-Africa 2023
    Tshwane, South Africa
    IEEE
    pp 1-10

    Moulla, D.K.; Abdel Aziz Kitikil ; Mnkandla, E; Hassan Soubra ; (2023)
    Functional Size Measurement For X86 Assembly Programs
    The Joint Conference of the 32nd International Workshop on Software Measurement (IWSM) and the 17th International Conference on Software Process and Product Measurement (MENSURA)
    Rome, Italy
    CEUR-WS


    BOOKS/CHAPTERS

    Akinyemi , LA; Mbuyu Sumbwanyambe; Mnkandla, E Computational Modelling of Communication Systems and Networks. In: Imoize, A.L. (eds), Montlouis, W. (eds), Obaidat, M.S. (eds). Popoola, S.I. (eds), Hammoudeh, M. (eds). Computational Modeling and Simulation of Advanced Wireless Communication Systems
    2024
    CRC Press
    Boca Raton
    pp 27
    ISBN: 9781003457428

    Akinyemi , LA; Olamide Peter Oshinuga; Mnkandla, E; Mbuyu Sumbwanyambe; ; Stephen Obono Ekwe Computational Models for Training, Testing, and Validating Wireless Networks and Systems. In: Imoize, A.L. (eds), Montlouis, W. (eds), Obaidat, M.S. (eds). Popoola, S.I. (eds), Hammoudeh, M. (eds). Computational Modeling and Simulation of Advanced Wirel
    2024
    CRC Press
    Boca Raton
    pp 19
    ISBN: 9781003457428

    Fezile Matsebula ; Mnkandla, E A Learning Analytics Architecture for a Smart University. In: Durak, G (eds), Cankaya, E (eds). Perspectives on Learning Analytics for Maximizing Student Outcomes
    2023
    IGI Global
    Hershey, Pennsylvania
    pp 318-331
    ISBN: 978-1668495278