Latent semantic models : a study of probabilistic models for text in information retrieval

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Optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff

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Multilingual preschool learners: a collaborative approach to communication intervention

Subjects: “…Service delivery model…”
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Application of statistical pattern recognition and deep learning for morphological classification in radio astronomy by Becker, Adolf Burger

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Die onderrigleervoorkeure van Generasie Z-studente in hoër onderwys : ʼn bestek-oorsig by Van der Merwe, Mareli Winter

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Unravelling black box machine learning methods using biplots by Rowan, Adriaan

“…This allows the output of the model to be represented by colour coding each point on the biplot plane according to the output of an independently calibrated machine learning model. …”
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Automated Machine Learning for Predicting Trends in Time Series Data by Kouassi, Kouame

“…However, manual ASHO is expensive and often results in a sub-optimal or mediocre model because it needs extensive experimentation as well as domain specific and Machine Learning (ML) expert knowledge. …”
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Forecasting energy consumption on mines using machine learning techniques by Esterhuizen, Lohani

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Non-linear neurocontrol of chemical processes using reinforcement learning by Hunter, Stephen Leon

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Machine Learning Multimodal Framework for Fake News Detection and Mitigation by GabAllah, Nada A

“…Specifically, it will examine how contextual information can enhance detection of fake social posts and the extent to which integrating news articles can further enhance this performance. Large langugae models are used for textual representation of social posts and news articles, and deep learning neural networks are used to capture the contextual features of the text and identify the post as fake or real. …”
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Radar-Based Multi-Target Classification Using Deep Learning by Mashanda, Nyasha Ernest

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Extractive Text Summarization on Single Documents Using Deep Learning by Mohamed, Shehab Mostafa Abdel-Salam

“…The objective of this thesis is to study the performance of deep learning-based models on text summarization through a series of experiments, and propose “SqueezeBERTSum”, a trained summarization model fine-tuned with the SqueezeBERT encoder which achieved competitive ROUGE scores retaining original BERT model’s performance by 98% with ~49% fewer trainable parameters.…”
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Reinforcement Learning-based Access Schemes in Cognitive Radio Networks by ElGuindy, Ehab Maged

“…In this thesis, we propose different MAC protocols based on three Reinforcement Learning (RL) approaches, namely Q-Learning, Deep Q-Network (DQN), and Deep Deterministic Policy Gradient (DDPG). …”
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A Machine Learning Approach to Predicting the Employability of a Graduate by Modibane, Masego

“…The aim for the dissertation is to build a machine learning classification model that can predict a students likelihood to become employed, based on their student data (for example, their GPA, degree/s held etc). …”
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Using Supervised Learning Methods to Credit Score Informal Merchants by Kazimoto, Derick

“…This study aims to address this issue by developing data-driven credit scoring models for informal merchants using supervised learning methods. …”
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Multitask learning and data distribution search in visual relationship recognition by Josias, Shane

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Neurocontroller development for nonlinear processes utilising evolutionary reinforcement learning by Conradie, Alex van Eck

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Deep Learning for Multi-Tissue Cancer Classification of Gene Expressions by Khorshed, Tarek

“…We demonstrate how our model can be used for transfer learning to build classifiers for tumors lacking sufficient samples to be trained independently. …”
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Predictive Maintenance in Rail Transportation: An Explainable Machine Learning Approach by Mabaso, Nelisa Zamantungwa Sphumelele

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