Investigating dynamic assessment as a means of addressing the assessment dilemma of additional language learners

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Wearable device localisation and its effect on activity recognition using machine learning

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Machine learning for corporate failure prediction : an empirical study of South African companies by Kornik, Saul

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APIC: A method for automated pattern identification and classification by Goss, Ryan Gavin

“…Machine Learning (ML) is a transformative technology at the forefront of many modern research endeavours. …”
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Business simulations : transforming mental models

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

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Catalytic oxidation of lignin model compounds by Maggott, Emile Darron

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The characterisation and modelling of a double-layer dunnage bag by Bonsma, I. M.

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Spoken language modeling with discrete units by Visser, Nicolaas Floris

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Numerical Modelling of Corrugated Paperboard Boxes by Aduke, Rhoda Ngira

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Enhanced LSMC for Valuation of Options by Mekawy, Amr

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Validated leaf spring suspension models

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Boiler system modelling using Flownex® by Rossouw, André

“…The steady-state boiler model is evaluated against actual boiler design data for various loads to prove applicability to various boiler designs and operating conditions.…”
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Modelling of Residual Stresses of Blood Vessels by Omatuku, Emmanuel Ngongo

“…Thus this study aims to model residual stresses by incorporating them into the wall stress distribution, and to investigate the effect that parameters defining the study constitutive model have on the stress distribution. …”
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Location Modelling for Coal Consolidation Centres by Barends, H.

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Modelling seed dispersal in restoration and invasions by Krug, Rainer Michael

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Modelling rhino presence with Bayesian networks

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Constructing first additional language learning : a content and thematic analysis of CAPS by Luizinho, Robyn Mandy

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An investigation into the internal structure of the learning potential construct as measured by the Apil Test Battery by De Goede, Johan

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Machine Learning Based Critical Resource Allocation in Mixed-Traffic Cellular Networks by Nomeir, Mohamed

“…For this purpose, we devise a mathematical model for the GF services using the k-repetitions Hybrid Automatic Repeat reQuest (HARQ) as the first model to define such traffic in a single cell. …”
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