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A Systems Approach to Sustainable Development through Resource Beneficiation - a Case for System Dynamics Modelling
Published 2015Get full text
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Hybrid non-linear model predictive control of a run-of-mine ore grinding mill circuit
Published 2018Get full text
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Discrete element modelling investigating the effect of particle shape on backfill response behind integral bridge abutments
Published 2018Get full text
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MODELLING OF A LOW PHASE NOISE RING OSCILLATOR USING SILICON GERMANIUM HETEROJUNCTION BIPOLAR TRANSISTORS
Published 2016Get full text
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Natural convection and radiation heat loss in solar cavity receivers-numerical modelling performance enhancement and optimisation
Published 2016Get full text
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Transient dynamic finite element modelling of flexible rotor systems with nonlinear fluid film bearings and faults
Published 2015Get full text
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A Fixed Switching Frequency technique for finite-set model predictive control of power electronic converters
Published 2016Get full text
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A Standardized model to quantify the financial impact of poor engineering information quality in the oil and gas industry
Published 2018Get full text
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Understanding modelled sea-air CO2 flux biases in the Southern Ocean through the seasonal cycle
Published 2019“…Second, to use this framework to examine sources of biases responsible for the limited skill of CMIP5 models in simulating the seasonal cycle of FCO2 with respect to observed estimates. …”
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Sustainability of quality improvement programmes in a heavy engineering manufacturing environment : a system dynamics approach
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Modelling directional casting processes in which heat conduction and cavity radiation are the dominant modes of heat transfer
Published 2014Get full text
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On-chip and hybrid LNA integration at MM-wave frequencies
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Modelling the transmission dynamics and the effect of different control strategies for African swine fever virus in East Africa
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Dynamic process modelling of the HPS2 solar thermal molten salt parabolic trough test facility
Published 2019“…This dissertation reports on the development of such a dynamic thermofluid process model and the results obtained from it. The process model developed primarily focuses on the steam cycle with the TES incorporated into the model. …”
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Machine learning methods for large deviations
Published 2025Get full text
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