Diel and seasonal dynamics of Anaulus australis at Muizenberg Beach, South Africa by De Vos, Casha

“…Photographs of the Muizenberg surf zone at 12-minute intervals were taken for two years (2019-2021) and analysed using machine learning image analysis techniques. Data on the presence of A. australis patch events were generated and a strong seasonal signal was found, with increased prevalence in patch frequency in the winter months (May, June, July), possibly due to increased turbulence. …”
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Modelling firm resources effects on performance: the mediating role of dynamic capabilities

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Social entrepreneurs’ conceptions of incubator-based learning

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The role of professional urban planners in understanding and managing the dynamism of informal settlements by Hill, Danielle Grace

“…I argue that this in turn implicates the way planners think and manage the collective needs, together with the dynamism of informal settlements.…”
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Organisational learning and monitoring and evaluation in project-based organisations by Chipato, Ngonidzashe

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Investigating hyperheuristics for solving bi-objective simulation optimisation problems by Nigrini, Leanne

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Dynamic capabilities in project-based firms operating across sub-Saharan Africa

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Competing in low-income markets using dynamic and adaptive market sensing capabilities

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Competing in low-income markets using dynamic and adaptive market sensing capabilities

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Optimizing learning & teaching on paediatric ward rounds by Mantzor, Savarra

“…In this research I assert that four educational elements, (i) the method of teaching (i.e. bedside teaching), (ii) the environment in which learning occurs (i.e. the clinical learning environment), (iii) the epistemological value of social participation (i.e. communities of practice), and (iv) an individual's ability to both acquire and utilize their knowledge (i.e. perceived self-efficacy), are not distinct phenomena, but are interrelated, dynamic forces that influence each other in meaningful ways. …”
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Aeolian dust emission dynamics across spatial scales: landforms, controls and characteristics by von Holdt, Johanna R C

“…Variable erodibility (surface characteristics) and erosivity factors (meteorological conditions) result in dust emission dynamics being complex in both space and time. Accounting for localscale surface variability is critical to our understanding of dust emitting processes. …”
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A machine learning framework for security forecasting and trading by Van Schalkwyk, Philip

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Using deep learning to classify community network traffic by Matowe, Chiratidzo

“…Numerous studies on traffic classification make use of the Machine Learning (ML) and single Deep Learning (DL) models. …”
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On noise regularised neural networks: initialisation, learning and inference by Pretorius, Arnu

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Wildfire path spread prediction system using machine learning: use of ANN, convolutional autoencoder, and ConvLSTM ML model by Makhaba, Limpho Mapulane

“…Traditional systems used in wildfire spread prediction are often limited in accounting for the dynamic and complex factors influencing fire behaviour. …”
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An initial implementation of a multi-agent transport simulator for South Africa

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The cognitive dynamics of socio-technological thinking in the early phases of expert designers' design processes

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A resilience perspective of learning mathematics in a disadvantaged environment

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Learning to be Lebanese: socializations of citizenship and subjecthood in Beiruti primary schools by Lansing, Jade

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Learning data-derived vehicle motion models for use in localisation and mapping

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