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Reinforcement Learning-based Access Schemes in Cognitive Radio Networks
Published 2021“…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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A Machine Learning Approach to Predicting the Employability of a Graduate
Published 2020“…The aim for the dissertation is to build a machine learning classification model that can predict a students likelihood to become employed, based on their student data (for example, their GPA, degree/s held etc). …”
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Using Supervised Learning Methods to Credit Score Informal Merchants
Published 2024“…This study aims to address this issue by developing data-driven credit scoring models for informal merchants using supervised learning methods. …”
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Multitask learning and data distribution search in visual relationship recognition
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Neurocontroller development for nonlinear processes utilising evolutionary reinforcement learning
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Deep Learning for Multi-Tissue Cancer Classification of Gene Expressions
Published 2021“…We demonstrate how our model can be used for transfer learning to build classifiers for tumors lacking sufficient samples to be trained independently. …”
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Knowledge discovery in medical database using machine learning techniques
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Predictive Maintenance in Rail Transportation: An Explainable Machine Learning Approach
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Quality of instructional materials in Nigerian university distance learning programmes
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Direct and indirect multimodal few-shot learning of speech and images
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Evaluation of hope, courage, and love of learning as predictors of academic performance
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The Process of Transformative Learning in Executive Coaching : a Realist Evaluation
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Mobile devices in a blended learning environment in higher education
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Education leadership learning : the experiences and perceptions of MEder's degree students
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The design and use of an outdoor learning environment for sensory and motor stimulation
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Enabling organisational knowledge through action learning : an epistemological study
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Exploring how process oriented guided inquiry learning elicits learners’ reasoning about stoichiometry
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