Reinforcement learning algorithms to model learning and decision-making in individuals with depressive disorders by Niit, Lizelle

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A gamified learning approach using systems modelling for understanding the effects of asset management decision-making by Van Breda, Ilicia Martie

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Examining Academics’ Decision-Making Processes and Implementation Challenges of Blended Learning Models for Future Higher Education

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A structured review and critical synthesis of multi-criteria decision-making models integrated with machine learning for water resource management

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Positioning emergent professional learning as catalyst for meaning making in agile work praxis

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The development of a model for hybrid teaching and learning in institutions of higher learning in nursing

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Determining the nature of free will using machine learning by Hall, Siobhan

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Implementation of machine learning to improve the decision-making process of end-of-usage products in a circular economy by Diem, Michael

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Analysing retinal fundus images with deep learning models by Ofosu Mensah, Samuel

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Interpreting decision boundaries of deep neural networks by Wessels, Zander

Subjects: “…Machine learning -- Decision making…”
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Knowledge discovery and anomalies — towards a dynamic decision-making model for medical informatics by Arndt, Heidi

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Thuto: Depth Analysis of South African and Sierra Leone School Outcomes using Machine Learning

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Incremental reinforcement learning for portfolio optimisation by Refiloe, Shabe

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Application of machine learning and knowledge-based systems to support decision-making on fate and behaviour of engineered nanoparticles in aqueous environment

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Identifying decision boundaries to explain black-box machine learning predictions by Rowan, Adriaan Izak

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Forecasting the Future of Sustainability: Integrating Machine Learning and Optimization for SDG Progress Modeling by Alnaas, Salma Khaled

“…This ensemble approach captures both long-term temporal trends and complex nonlinear relationships among economic, environmental, and infrastructural variables, outperforming traditional statistical and single machine-learning models. Based on these forecasts, a linear optimization model is used to identify investment strategies that maximize sustainable development outcomes while satisfying economic and environmental constraints. …”
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Machine learning for regional modelling of soil depth in the Western Cape of South Africa by Du Plessis, Juan

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Factors to consider in the transition from a teacher-centred model to a learner-centred model in a computer-rich learning environment

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The implications of Ned Herrmann’s whole-brain model for violin teaching : a case study by Campbell, Velma-Jean

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An interactive R shiny application for learning multivariate data analysis and time series modelling

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