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Decision tree development for land cover classification in the Eastern Cape
Published 2017Subjects: “…Learning Classifier Systems…”
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Direct and indirect multimodal few-shot learning of speech and images
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Interactive Expert System for Budgeting World Bank Consultancy Projects
Published 2021“…Furthermore, the ensemble method, a composite meta-algorithm model, was then applied in order to create a more robust classifier by combining several machine learning models into a single predictive model where each classifier votes and provides a final prediction label based on the majority of the voting. …”
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Building a question answering system for the introduction to statistics course using supervised learning techniques
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Resistance to the implementation of learning management systems by lecturers in higher education in a developing country context
Published 2019“…Whilst HEIs have incorporated ICTs, the uptake of the Learning Management Systems (LMS) is low, with the expected objectives remaining largely unachieved and the full potential of the technologies not realised. …”
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Practical probabilistic systems for satellite image segmentation and classifcation
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Froth texture extraction with deep learning
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Application of statistical pattern recognition and deep learning for morphological classification in radio astronomy
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Classifying low probability of intercept radar using fuzzy artmap
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Adult learning practises during a time of organisational change: implementing the SAP R/3 computer system at a university
Published 2024“…I was particularly interested in the effect of role and discourse brought to learning, and in classifying different strands of the learning task and assessing which mediators of learning worked best for each. …”
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The artificial immune system with evolved lymphocytes
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A framework for evaluating unstructured text data using sentiment analysis
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Protection-based Distributed Generation Penetration Limits on MV feeders - Using Machine Learning
Published 2022“…A supervised machine learning algorithm is applied after nontrivial data pre-processing through recommendation systems and shuffling. …”
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Predicting grade progression within the Limpopo Education System
Published 2019“…Feature selection methods; Information Gain, Correlation and Asymmetrical Uncertainty were combined to determine factors that affect learning. Three machine learning classifiers, AdaboostM1 (Decision Stump), HoeffdingTree and NaïveBayes, were used to predict learners’ grade progression. …”
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GSM based Communication-Sensor (CommSense) System
Published 2018“…Upon, receiving positive results in each step we have decided to move towards using learning algorithms to categorise the data captured by the system. …”
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A prototype animal borne behaviour monitoring system
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