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Direct numerical simulation of free-surface and interfacial flow using the VOF method: cavitating bubble clouds and phase change
Published 2018“…A novel investigation of bubble cloud interaction in an expanding liquid using Direct or Detailed Numerical Simulation is presented. …”
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Fast and efficient approaches to large-scale occupancy models
Published 2023“…Bayesian occupancy models are important statistical tools that are used to investigate species range dynamics, species interactions as well as undercover key biological processes that drive occupancy (and detection) in a particular region. …”
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Exploring the application of Natural Language Processing to scientific medical cannabis publications
Published 2023“…First, natural language processing techniques (such as document clustering and topic modelling, global vector word embeddings and supervised document classifiers) are used to group 500 journal articles from the general literature on cannabis according to broad research topics; analyse the interaction between cannabis compounds, human physiology and diseases; and train a classifier to classify unseen documents. …”
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The use of data analytics to improve running form and reduce risk factors in middle to long distance runners
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Autonomous racing on unseen tracks using reinforcement learning
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Application of network filtering techniques in finding hidden structures on the Johannesburg Stock Exchange
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Time series forecasting using dynamic particle swarm optimizer trained neural networks
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Fast accurate diphone-based phoneme recognition
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ROLAND : a tool for the realistic optimisation of local access network design
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Development of a low-cost vibration protection device for industrial gearboxes
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ABS braking on rough terrain
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Transcriptomic profile based cancer disease prediction and patient survival time differentiation
Published 2018“…Cancer cells are regulated by complex interactions mediated by a group of proteins and miRNAs which are expressed and repressed. …”
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Self-adapting simulated artificial societies
Published 2024“…Agent-Based Models (ABM) are computational models that utilize autonomous agents to interact and adapt to the environments in which they occupy. …”
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A framework for evaluating clinical data using graph-based link prediction
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Path planning for an unmanned terrestrial vehicle in an obstacle ridden environment
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Adaptive cross approximation methods for fast analysis of Antenna Arrays
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