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A feasibility study of elementary reinforcement learning-based process control
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A biomass-fueled combined steam and sCO2 heat and power cycle for Southern African conditions
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Model-based exploration of the inter-relationships between diesel fuel properties and engine performance and exhaust emissions
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Forced draught supercritical carbon dioxide cooling system performance
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Coupled fully three-dimensional hydro-morphodynamic modelling of bridge pier scour in an alluvial bed
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Graph Neural Network Applications in Electronic Design Automation
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Intelligent elevator control based on adaptive learning and optimisation
Published 2015Get full text
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Three-dimensional modelling of simultaneous saccharification and fermentation of cellulose to ethanol
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The separation of detergent range alkanes and alcohol isomers with supercritical carbon dioxide
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Distributed real-time processing using GNU/Linux/libré software and COTS hardware
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Light beam tracing for multi-bounce specular and glossy transport paths
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Semi-automatic spatio-temporal reconstruction of the left ventricle from CMR
Published 2019“…This work presents a quick computational framework for building a semi-automatic platform building patient specific spatio-temporal kinematic models of the left ventricle, allowing interactive visualization and detailed quantification of structural e.g. …”
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Numerical investigation into the effects of multiple bubbles in microchannel flow boiling
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The ribbon microphone multi‑physics educational aid
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Cellular automata as an approximate method in structural analysis
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Energy efficiency control of direct expansion air conditioning systems
Published 2018“…The simulations also demonstrate that the controllers are superior to conventional controllers in terms of energy efficiency. …”
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