Random Sampling-based Relative Radiometric Normalisation

Researcher: Wessel Bonnet, University of the Witwatersrand, JohannesburgSupervisors: Turgay Çelik, University of the Witwatersrand, Johannesburg Relative radiometric normalisation (RRN) is a widely used methodology for change detection and radiometric calibration of corresponding multispectral images for further analysis. However, standard RRN methods are not robust against anomalous (or outlier) pixels,

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Classification Machine Learning Models for Datasets From Various Disciplines

Data mining, a vital machine learning technique, extracts valuable information from raw data across diverse fields like healthcare, retail, logistics, military, banking, and sports. It employs supervised and unsupervised methods, with classification being the most popular. This study evaluated six common machine learning classification models across six

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A New Frontier: Pseudo-Observation’s Role in Survival Analysis

Researcher: Kgoale Tshiamo MahlakoSupervisor: Dr A Whata Survival analysis is a vital field in statistics, offering valuable insights into various domains, from healthcare to epidemiology. It allows us to understand the factors that influence time-to-event outcomes. The analysis of survival data comes with its own set of

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Comparative study of ML algorithms in Credit Card Fraud Detection

Researcher: Joey J. AssabilSupervisor: Dr C. Obagbuwa Credit Card Fraud (CCF) hasbeen a worldwide conundrumresulting in millions of losses.The research compares theefficiency of Traditional algorithms (LogisticRegression, Decision Trees,K-Nearest Neighbor) andEnsemble algorithms(Random Forest, Adaboost,Xgboost) in detectingfraudulent patterns withindatasets.  

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Market Demand Forecasting: Analyzing Amazon Sales using Machine learning

Researcher: Jaden Pieterse, Sol Plaatjie UniversitySupervisor: Dr Martins Arosamwan, University of the Witwatersrand, Johannesburg The need for accurate demand and sales forecasting is important for companies to perform better. Due to rapid technological development, e-commerce platforms face challenges with finding proper models to deal with market demand.

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