Coloured in - investigating the challenges of an 'othered' identity within spaces of learning by Biscombe, Monique Isabel

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Evaluation of the learning environment of teaching hospitals of twin cities in Pakistan by Khan, Muhammad Nasir Ayub

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Machine Learning Multimodal Framework for Fake News Detection and Mitigation by GabAllah, Nada A

“…In recent years, we have witnessed lots of fake news roaming social media every second, with people simply believing it and spreading it even more without checking the credibility of this news. …”
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Progressive learning environments for cultural development and exchange in South Africa

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The impact of entrepreneurial experiential learning on entrepreneurial competencies and business performance

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Reinforcement Learning-based Access Schemes in Cognitive Radio Networks by ElGuindy, Ehab Maged

“…In this thesis, we propose different MAC protocols based on three Reinforcement Learning (RL) approaches, namely Q-Learning, Deep Q-Network (DQN), and Deep Deterministic Policy Gradient (DDPG). …”
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Using Supervised Learning Methods to Credit Score Informal Merchants by Kazimoto, Derick

“…The study's findings can help Nomanini determine the creditworthiness of merchants more accurately and reduce the risk of lending money to defaulters. …”
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A hermeneutic of learned helplessness : the Bible as problem in pastoral care by De Villiers, Desiree

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Contestations of play and learning in children’s development : parents’ and teachers’ voices

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Automated Machine Learning for Predicting Trends in Time Series Data by Kouassi, Kouame

“…A recent Automated Machine Learning (AutoML) namely the hybrid Bayesian optimisation and hyperband (BOHB) framework is implemented and evaluated for ASHO. …”
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Resilience to drought : learning from adolescent boys living in Leandra

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Forecasting energy consumption on mines using machine learning techniques by Esterhuizen, Lohani

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Parent experiences of children using digital technology for learning at home

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The learning and performance practices of the chalumeau: A practice-led autoethnography by Cyster, David Peter

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Deep Learning for Multi-Tissue Cancer Classification of Gene Expressions by Khorshed, Tarek

“…We contribute in providing medical professionals with more confidence in using Deep Learning for medical diagnosis by introducing visualization procedures to provide biological insight on how our network is performing classification across multiple tumors. …”
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The mind-mapping approach : a model and framework for geodesic learning

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Education leadership learning : the experiences and perceptions of MEder's degree students

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Grade R student teacher experience of Work Integrated Learning

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Exploring how process oriented guided inquiry learning elicits learners’ reasoning about stoichiometry

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