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Load and response estimation and model recalibration using inverse finite element methods
Published 2012Subjects: “…Engineering design -- Data processing…”
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Rekenaargesteunde musiekonderrig op hoërskool- en voorgraadse vlak met besondere verwysing na die gebruik van 'n multimediadatabasis van Xhosa musiekterme
Published 2012Subjects: “…Xhosa (African people) -- Music -- Data processing…”
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Rekenaar gebasseerde toetsapparaat vir induksiewattuurmeters
Published 2012Subjects: “…Electric machinery, Induction -- Data processing…”
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Die ontwikkeling en implementering van 'n kennisbasisstelsel vir die bevordering van padboubaarheid
Published 2012Subjects: “…Roads -- Design and construction -- Data processing…”
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An intra-operative cerebral monitor
Published 2012Subjects: “…Intraoperative monitoring -- Data processing…”
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Navorsing oor beleide aangaande tegnologie en die toepassing daarvan in vier verskillende laerskole in die Wes-Kaap
Published 2015Subjects: “…Education -- Data processing…”
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A temporal prognostic model based on dynamic Bayesian networks: mining medical insurance data
Published 2021“…However, this involves various challenges due both to the nature of the clinical domain, and the nature of the DBN modelling and inference process itself. The challenges from the clinical domain include insufficient knowledge of temporal interactions of processes in the medical literature, the sparse nature and variability of medical data collection, and the difficulty in preparing and abstracting clinical data in a suitable format without losing valuable information in the process. …”
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Small-scale distributed machine learning in R
Published 2023“…Machine learning models generally require large amounts of data to train and thus are computationally expensive, both in the absolute sense of actual compute time, and in the relative sense of the numerical complexity of the underlying calculations. …”
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A Machine Learning Approach to Predicting the Employability of a Graduate
Published 2020“…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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A statistical approach to automated detection of multi-component radio sources
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Designing an event display for the Transition Radiation Detector in ALICE
Published 2021“…We also define a flexible intermediate JSON data format suitable for web-based displays, and a generic task to convert historical data to this format. …”
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Unsupervised Machine Learning Application for the Identification of Kimberlite Ore Facie using Convolutional Neural Networks and Deep Embedded Clustering
Published 2022“…The aim of this research is to demonstrate the viability of implementing a computer vision solution to provide online information of the composition of material entering the plant, thus allowing the plant operators to adjust equipment settings and process parameters accordingly. Data is collected in the form of high resolution images captured every couple of seconds of material on the main feed conveyor belt into the Kao Diamond Mine processing plant. …”
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Using state-space time series analysis on wetland bird species to formulate effective bioindicators in the Barberspan wetland
Published 2023“…The Coordinated Waterbird Count dataset (CWAC) is a dataset containing waterbird counts from wetlands across South Africa, going as far back as 1970. These data contain valuable information on population sizes and their trends over time. …”
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Automated usability analysis and visualisation of eye tracking data
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Evaluating a Semantic Approach to Address Data Interoperability
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Statistical analysis of bird atlas data from Swaziland
Published 2016“…The introductory section of the atlas includes a description of the data gathering process. The analysis included in the bird atlas was aimed at a popular readership and was not intended to form part of an academic dissertation Chapter 1 describes the use of logistic regression to investigate the relationships between the bird distribution patterns and a set of environmental variables and to predict the distributions. …”
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The development of an education management information system from a sensemaking perspective and the application of quantitative methods to analyse education data sets
Published 2008Subjects: “…Education -- Data processing…”
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Business-to-business data sharing : South African and European Union legal constructs
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Semi-automatic matching of semi-structured data updates
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An LLM Approach for Automating the Analysis of BIM (IFC) Data
Published 2025“…The integration of Gemini LLM provides advanced language-based reasoning and decision-making capabilities that allow the system to process complex queries, in human language, and provide valuable insights from the BIM data. …”
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