Esports betting technology: machine learning for match prediction and odds estimation by du Plessis, Henri Izak David

“…It was found that incorporating a large number of statistics did not significantly improve predictive accuracy when compared to models using fewer, more important features. It was also found that LAN matches and best-of-3 map formats are more predictable than their counterparts. …”
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Prediction of mobile network subscriber satisfaction by using network probing experience measures and machine learning by Kruger, Martin

“…In addition, we find that all tested machine learning models, whether linear or non-linear, are poor predictors of NPS. …”
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Student perceptions of blended learning interventions in teaching auditing

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Machine learning in predictive analytics on judicial decision-making by Pienaar, Celia

“…Legal professionals globally are under pressure to provide ‘more for less' – not an easy challenge in the era of big data, increasingly complex regulatory and legislative frameworks and volatile financial markets. …”
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Deep Learning-Based Brain Tumour Detection and Classification by Liza, Ansu

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The effect of learning and cost optimization on line of balance scheduling by Zahran, Kareem Essam

“…This framework achieves several objectives such as (1) improving the performance of the LOB scheduling by considering the learning effect to develop more realistic schedules, (2) supporting decision makers in achieving schedules that would optimize time and cost, and (3) incorporating actual performance data on site by continuously updating the learning rates based on actual data extracted from monitoring activities on site. …”
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Improving machine learning techniques for influenza-A classification by Shaltout, Nermin Ashraf

“…The final results showed that: (a) DNA data is more sensitive than Protein data when using both subtypes. …”
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Social and cognitive dimensions of language in the learning of introductory accounting

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Computer integration teaching and learning in a middle school

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E-learning in universities in Uganda: predictors of successful adoption by Namirembe, Esther

“…Therefore, while organisational characteristics contribute to the adoption of e-learning among lecturers, their influence is more pronounced in the established university, that is, Makerere. …”
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The role of tutors in the effectiveness of cooperative learning physics tutorials by Koontse, Reuben Double

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Nuclear Bluff Learning: Nuclear Signaling in Times of Crisis by Tawfik, Dina

“…During this investigation, I coin a new nuclear term: “nuclear bluff learning”. This term refers to how each successive nuclear alerting leader learns from the past nuclear alerts and employs their own new tactics to further evolve the game of nuclear signaling and further their leverage in a conflict. …”
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End-to-End Autonomous Quadcopter using Reinforcement Learning by Chawa, Mohamed Marwan

“…RL, on the other hand, learns to adapt its control strategy based on the environment, making it more robust to such disturbances. …”
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Re-cognising teaching and learning in an Ad mathematics programme by Eddy, Neil

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Evolutionary algorithms for optimising reinforcement learning policy approximation by Cuningham, Blake

“…Reinforcement learning methods have become more efficient in recent years. …”
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Towards sustainable lecturers’ learning in Kenyan private universities by Omingo, Mary Odinga

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Learning from mentors : perspectives of South African entrepreneurs

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Analysis of Machine Learning Algorithms for Time Series Prediction by Naidoo, Kimendree

“…In this regard, the LSTM was found to be a more robust algorithm than the ANN and SVR.…”
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Using deep learning to classify community network traffic by Matowe, Chiratidzo

“…However, the model that had the best accuracy rate was not necessarily the one that took the shortest time when it came to prediction speed considering that it was more complex. Support vector machines outperformed the deep learning models in terms of prediction speed.…”
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