Unsupervised feature learning for speech using correspondence and Siamese networks by Last, Petri-Johan

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Credit scoring using machine learning : an application of deep learning

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Learning from risk : facilitating organisational learning through enterprise risk management by Amien, Ishtiaq

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Exploring e-learning adoption by employees in workplace learning: A UTAUT and SDT perspective by Ntshangase, Sibusisiwe

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Modern gradient boosting by Zackey, Matthew David

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Organisational learning and innovation : the study of enablers and relations by Prinsloo, Albert Valerius

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Homework : tedious tradition or enterprising learning endeavour by Nyback, Monique

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Multi-agent path finding with reinforcement learning by Ellis, James

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Deep learning based methods for tuberculosis cough classification by Frost, Geoffrey

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Reframing embodied learning in a blended learning environment to facilitate and promote decolonial practices in Graphic Design in Higher Education, South Africa by Du Plessis, Mia

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

“…Due to the rapidly increasing prominence of Artificial Intelligence in the last decade and the advancements in technology such as processing power and data storage, there has been increased interest in applying machine learning algorithms to time series prediction problems. …”
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The utilisation of translanguaging for learning and teaching in multilingual primary classrooms

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Fruit detection in an orchard using deep learning approaches by Koech, Kiprono Elijah

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A Machine Learning Model for Octane Number Prediction by Spencer, Victor

“…Machine learning models are data driven with primarily regression and deep learning methods being used in literature as prediction models. …”
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Intercultural learning and community mobilisation within eMzantsi by Gwatirisa, Ruvimbo Valerie

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Effects of Trypanosoma brucei brucei on spatial learning and memory by Moses, Blessing

“…Lastly, it was interesting to find that the MWM training task reduced the characteristic pathology associated with the disease. …”
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Project Leanness Score: A Machine Learning Approach by Said, Julia

“…Lastly, developing a user-friendly tool that enables companies to easily calculate the leanness score of their projects, compare it to the benchmarks, and predict their schedule and cost performance. …”
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On noise regularised neural networks: initialisation, learning and inference by Pretorius, Arnu

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