Development and demonstration of a Customer Super-Profiling tool utilising data analytics for alternative targeting in marketing campaigns by Walters, Marisa

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Identifying financial risk through natural language processing of company annual reports

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The impact of play-informed caregiver-implemented home-based intervention on the academic learning outcomes for HIV positive children (aged 5 years to 8 years) on Antiretroviral Th... by Otto, Caraleigh

“…BACKGROUND: The academic learning of HIV positive children is often negatively impacted by cognitive and learning deficits associated with HIV, and usually leads to poor performance at school. …”
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Development of a process modelling methodology and condition monitoring platform for air-cooled condensers by Haffejee, Rashid Ahmed

“…A utility-scale 64-cell ACC system based in South Africa was selected for this study. …”
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The effects of a perceptual-motor development program on children with Developmental Coordination Disorder by Walters, Yolinda

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Prosopis invasion in the Northern Cape: remote sensing analysis of management action effectiveness by Barnard, Johannes Jacobus

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Wetland ecotones: testing remote sensing techniques to map ecotones in a Fynbos embedded wetland by Seymour, Danielle Afton

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The prediction of condensation flow patterns by using artificial intelligence (AI) techniques

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Radar intra-pulse modulation classification using convolutional neural networks by Swart, Jean

“…It was found that substantial performance and stability improvements could be achieved when convolutional neural networks were used over the tested non-machine learning based classification technique. The most promising classifier made use of time-frequency representations as an input, and was able to achieve a classification accuracy of 98%, while exhibiting extreme robustness against noise and pulse imperfections.…”
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Cough endpoint detection in continuous audio recordings by Lamprecht, Christiaan Gerrit

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Development of a ML Algorithm to Improve Radar Detection of Golf Balls Using MFCW Radar by Holtshausen, Damian Luke

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Exploring EMG and EEG signals for the development of a real-time control strategy for a robotic hand by Nieuwoudt, Lorelei

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Developing a data mining classification model to predict the academic performance of students in Public Basic Schools in Ghana using socio-economic variables. a case study of sel... by Sarpong, Alexander

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Performance analysis of text classification algorithms for PubMed articles by Savvi, Suzana

“…This research provides a case study which compares the performance of several different machine learning algorithms (Topic Modelling, Random Forest, Logistic Regression, Support Vector Classifiers, Multinomial Naive Bayes, Convolutional Neural Network and Long Short-Term Memory (LSTM)) in reproducing manually assigned MeSH annotations. …”
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A highly accessible application for detection and classification of maize foliar diseases from leaf images by Khethisa, Joang Adolf

“…Cross-browser support tests indicated that the system is fully compatible with all popular mobile and desktop browsers. …”
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A Component-Based Analysis for Online Proctoring by Ali, Salma Roshdy

“…By combining the continuous estimation of the components and enforcing a temporal window, we design a cheating cue detection system. This system can detect and classify cheating behavior signals at any moment during the exam. …”
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Intonation modelling for the Nguni languages

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Detection of black-backed jackal in still images by Pathare, Sneha P.

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DDoS defence for service availability in cloud computing by Osanaiye, Opeyemi Ayokunle

“…The main contributions are as follows: (i) This thesis proposes an IP spoofing detection technique that uses a passive and active host-based operating system (OS) fingerprinting to detect the true source of a packet during a spoofed DDoS attack; (ii) this thesis proposes an ensemble-based multi-filter feature selection (EMFFS) method that combines the output of four filter methods to achieve an optimum selection, and a decision-tree classifier to detect DDoS attacks; and (iii) this thesis proposes a change-point monitoring algorithm to detect DDoS flooding attacks against cloud services, by examining the packet IAT. …”
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