Exploring algorithmic bias in cybersecurity : the social implications of AI-driven threat detection and risk scoring by Moabi, Boitshwarelo Precious

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Evaluating the potential of machine learning for promotional demand planning and price optimisation in retail by De Beer, Samuel Heinrich

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Teacher experiences in using digital technology in the early grades to support teaching and learning

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A neurocontrol paradigm for intelligent process control using evolutionary reinforcement learning by Conradie, Alex van Eck

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Modelling rhino presence with Bayesian networks

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Evaluating technology-based interventions to enhance the learning of first year Statistics students

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Machine learning methods for individual acoustic recognition in a species of field cricket by Dlamini, Gciniwe

“…The results of these models were compared to results of a baseline random forest (RF) model as RFs can also be used to make acoustic classifications. …”
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Deep learning approaches for fingerprint localization in low-power wide area networks

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The application of informal feedback intervention as a communication management tool in learning organisations

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Machine Learning–Based Detection of Network Failures in Core Network Cellular Data by Fita, Gospel Antonio

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Sentiment analysis using unsupervised learning for local government elections in South Africa

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A decision support tool for implementing machine learning in SME manufacturing companies by Van Coller, Christiaan

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Die ontwikkeling van 'n psigometriese instrument om die leerbenadering van volwassenes te bepaal (Afrikaans)

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Factors influencing career decisions of female doctors at Tshwane district hospital by Kruger, Annelet

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Exploring the impact of (im)materiality on the literacy and meaning-making practices of first year students at a South African distance education institution: implications for supp... by Isaacs, Lynne

“…Drawing on Fairclough's (1992) model of Discourse, a critical discourse analysis of a key material object – the tutorial letter which is used for the mediation of the students' learning – was conducted to explore the ways in which students are positioned and its implications for power and access. …”
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A Machine Learning Framework for Predicting Fabrication Hours for Industrial Steel Structure Projects by Ibrahim, Dalia

“…The objectives were achieved by employing combinations of six machine learning models and various pre-processing techniques to find the model that best enhances the estimates of the fabrication hours of the collaborating company. …”
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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems by Nwachukwu, Sampson

“…Reinforcement learning (RL) is a model-free optimization approach that can learn solar PV behaviour and store and reuse optimization information for future optimization tasks. …”
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Staying together while learning: Relational work & the construction of collective institutional agency by Schweer, Cynthia

“…I then describe four ‘collaboration frames'—coordinated action, advocacy, social learning, and meaning-making—which represent a diverse set of expectations by organizational actors when initiating a collective effort to address GCs. …”
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Investigating teaching and learning support for students with hearing impairment at a university in the Western Cape by Bell, Diane

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Discriminating between forest plantation genera using remote sensing and machine learning algorithms by Higgs, Caley

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