Tebogo  Bokaba
Cited by
Cited by
A Comparison of Strategies for Missing Values in Data on Machine Learning Classification Algorithms
T Makaba, EM Dogo
IEEE International Multidisciplinary Information Technology and Engineering …, 2019
A Decade Bibliometric Analysis of Underwater Sensor Network Research on the Internet of Underwater Things: An African Perspective
AF Salami, EM Dogo, T Makaba, EA Adedokun, MB Muazu, BO Sadiq, ...
Al-Turjman F. (eds) Trends in Cloud-based IoT. EAI/Springer Innovations in …, 2020
Experiences and perceptions of using a game-based learning platform for teaching undergraduate students at a university in Johannesburg, South Africa
S Mhlongo, T Makaba
Global Trends in Management, IT and Governance in an e-World (e-MIG 2019 …, 2019
Combating Road Traffic Congestion with Big Data: A Bibliometric Review and Analysis of Scientific Research
E Dogo, T Makaba, O Afolabi, AC Ajibo
Towards Connected and Autonomous Vehicle Highways, 2021
Bayesian Network-Based Framework for Cost-Implication Assessment of Road Traffic Collisions
T Makaba, W Doorsamy, BS Paul
International Journal of Intelligent Transportation Systems Research, 2020
Exploratory framework for analysing road traffic accident data with validation on Gauteng province data
T Makaba, W Doorsamy, BS Paul
Cogent Engineering, 2020
A Decade Bibliometric Review of Road Traffic Accidents and Incidents: A Computational Perspective
T Makaba, B Gatsheni
The 2019 International Conference on Computational Science and Computational …, 2019
Evaluative analysis of next generation mobile networks in future smart grid in developing countries
EM Dogo, AF Salami, NI Nwulu
Proceedings of the 4th International Conference on Smart City Applications, 1-10, 2019
The Design of a Vehicle Traffic Flow Prediction Model for a Gauteng Freeway Based on an Ensemble of Multi-Layer Perceptron
TE Makaba, BN Gatsheni
World Academy of Science, Engineering and Technology, International Journal …, 2017
The Design of a Vehicular Traffic Flow Prediction Model for Gauteng Freeways Using Ensemble Learning
TE Makaba
PQDT-Global, 2016
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