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Aspects of stepped-frequency processing for low-frequency SAR systems
Published 2024“…Both the IFFT method and the time-domain method have been found to be unsuitable for SAR processing applications. …”
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Predictions of leachate generation from minerals processing waste deposits
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Medicine and medical process as a learning system
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Predictions of leachate generation from minerals processing waste deposits
Published 2023“…The work presented in this thesis involved identifying suitable modelling strategies which could be used to determine leachate generation within waste deposits which contain waste material typical of that produced by the minerals processing industry. Two modelling strategies have been investigated. …”
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Processing and interpretation of the Bushveld seismic survey P1-86
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Markov processes in disease modelling : estimation and implementation
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Fast galactic structure finding using graphics processing units
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Resilience processes in child-headed households in Chinhoyi
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Dynamic Modelling of a Carbon-in-leach Gold Processing Plant
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Detecting change in nonlinear dynamic process systems
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Processes and drivers of Prosopis invasions in Eastern Africa
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Denoising Diffusion Post-Processing for Low-Light Image Enhancement
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Depositional processes in Saldanha Bay and Langebaan Lagoon
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Assessment and modelling of chromium release in minerals processing waste deposits
Published 2016“…The minerals processing industry is by far the largest generator of mineral solid wastes, which are commonly stored in large scale landfill deposits. …”
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Effective scheduling of hybrid batch and continuous processes
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Application of process data reconciliation in power plants
Published 2017“…It is vital to have reliable and accurate process data to achieve process optimization. …”
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Process development for in-situ production and recovery of lipopeptides
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Solar energy in the minerals processing industry: identifying the first opportunities
Published 2015“…In the solar energy field there have emerged several technical and market innovations, thus making it more attractive. …”
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Interpretable machine learning in natural language processing for misinformation data
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