A feasibility study of elementary reinforcement learning-based process control by Bras, Edward Hendrik

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Opportunities to learn environmental education : a case study of Mpumalanga province

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Development of a best practice model for teaching and learning evidence-based health care at Stellenbosch University, South Africa by Young, Taryn

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Exploring inquiry-based education in a professional learning programme for science teachers by Van Graan, Danelda Celeste

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Game-based learning in software engineering education : a systematic literature review

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Applying game based learning at the South African Military Academy: an experimental study by Dreyer, Adriaan Marthinus Francois

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The role of toy libraries in the provision of play-based learning opportunities for young children

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

“…This kind of scheduling is completely implemented by and controlled at the base station of the system. On the other hand, the UL problem focuses on providing enough resources to user devices to send their data, when they have any. …”
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Latent approaches for unsupervised learning-based methodologies in gearbox fault diagnosis applications

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Implementation of problem-based learning in nursing education: a Malawian case study by Giva, Karen Rose Nsandu

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Nature-Based Education as a Learning Tool: Unleashing the Power of Nature-Based Education in Egyptian Primary Schools. "The Effects of Outdoor Learning and Open-Air Classrooms on P... by Bekhiet, Nermeen

“…Many schools in Egypt and the Middle East do not concentrate on how exposure to nature and nature-based learning can affect how the learner perceives his or her learning area. …”
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An exploration of teaching strategies utilised in the facilitation of learning for first level students in General Nursing Science

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A hybrid gearbox condition monitoring methodology using transfer learning for calibration

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Enhanced Data Sampling and Feature Generation for Machine Learning-based Lithography Hotspot Detection by Ismail, Mohamed

“…Identifying these patterns early in the design phase is crucial for high yield fabrication. Machine Learning-based (ML) hotspot detection techniques are promising since they have shown superior results to other methods such as pattern matching. …”
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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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Enhancement of digital elevation models using tree-based ensemble machine learning algorithms by Okolie, Chukwuma

“…Thus, global digital elevation models (DEMs) have gained worldwide prominence due to their free availability; a prime advantage when compared to prohibitively expensive airborne topographic surveys. …”
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Protection-based Distributed Generation Penetration Limits on MV feeders - Using Machine Learning by Nxumalo, Emmanuel

“…The approach to determining protection-based penetration limits is based on supervised machine learning methods. …”
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"PBL on 'roids" : application of an adapted constructivist learning environment survey to investigate the perceptions of students in a community-based undergraduate obstetrics lear... by Marcus, J. K. (Jason Kirk)

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