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Improving machine learning techniques for influenza-A classification
Published 2016“…The final results showed that: (a) DNA data is more sensitive than Protein data when using both subtypes. …”
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Social and cognitive dimensions of language in the learning of introductory accounting
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Computer integration teaching and learning in a middle school
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E-learning in universities in Uganda: predictors of successful adoption
Published 2020“…Therefore, while organisational characteristics contribute to the adoption of e-learning among lecturers, their influence is more pronounced in the established university, that is, Makerere. …”
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The role of tutors in the effectiveness of cooperative learning physics tutorials
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Nuclear Bluff Learning: Nuclear Signaling in Times of Crisis
Published 2023“…During this investigation, I coin a new nuclear term: “nuclear bluff learning”. This term refers to how each successive nuclear alerting leader learns from the past nuclear alerts and employs their own new tactics to further evolve the game of nuclear signaling and further their leverage in a conflict. …”
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Lifelong learning framework for developing employable skills in undergraduates
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End-to-End Autonomous Quadcopter using Reinforcement Learning
Published 2024“…RL, on the other hand, learns to adapt its control strategy based on the environment, making it more robust to such disturbances. …”
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Re-cognising teaching and learning in an Ad mathematics programme
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Evolutionary algorithms for optimising reinforcement learning policy approximation
Published 2020“…Reinforcement learning methods have become more efficient in recent years. …”
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Towards sustainable lecturers’ learning in Kenyan private universities
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Learning from mentors : perspectives of South African entrepreneurs
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Analysis of Machine Learning Algorithms for Time Series Prediction
Published 2022“…In this regard, the LSTM was found to be a more robust algorithm than the ANN and SVR.…”
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Using deep learning to classify community network traffic
Published 2023“…However, the model that had the best accuracy rate was not necessarily the one that took the shortest time when it came to prediction speed considering that it was more complex. Support vector machines outperformed the deep learning models in terms of prediction speed.…”
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Optimizing learning & teaching on paediatric ward rounds
Published 2024“…Bandura's Social Cognitive Theory asserts that an individual's perceptions of his/her self-efficacy influence not only their ability to learn knowledge and skill, but more importantly, influences their ability to act utilizing that knowledge or skill. …”
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The influence of the beliefs of teachers and learners on the teaching and learning of evolution
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The experiences of learning support unit managers and students in London
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On noise regularised neural networks: initialisation, learning and inference
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Autonomous racing on unseen tracks using reinforcement learning
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