A report on the development of the control chart by Contardo, Ivona

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Sequential Injection Analysis : evaluation of operational parameters and application to process analytical systems

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Nonlinear singular spectrum analysis and its application in multivariate statistical process monitoring by Krishnannair, Syamala

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The development of techniques to select a control policy during proactive on-line planning and control by Morris, J. W.

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Minimizing hydroponic nutrient pollution through pH-based control algorithms

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Application of probabilistic deep learning models to simulate thermal power plant processes by Raidoo, Renita Anand

“…Deep learning has gained traction in thermal engineering due to its applications to process simulations, the deeper insights it can provide and its abilities to circumvent the shortcomings of classic thermodynamic simulation approaches by capturing complex inter-dependencies. …”
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Process optimization and technoeconomics assessment of nematode biopesticide production by Owusu Prempeh, Clement

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GPGPU-accelerated nonlinear state estimators : application to MPC-controlled bioreactor performance

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Optimizing flotation performance using extremum seeking control

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Process capability studies in the pulp and paper industry by Botha, Adriaan Hendrikus

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Grinding mill circuit control from a plant-wide control perspective

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Robotics process automation : customer contact centre email management utilising uipath by Khasoane, Paballo Joyce

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Automating the initialisation of relay autotuning using control performance monitoring by Albertus, Grant John

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Control of an acid sulphite batch pulp digester based on a fundamental process model

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Non-invasive measurement of quality attributes of processed pomegranate products by Okere, Emmanuel Ekene

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Efficiency of land use development application processes: a case study of Stellenbosch Municipality by Von Solms, Wian

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Integrated process and control modelling of water recirculation in once-through boilers during low load and transient operation by Rosslee, Pieter

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The application of advanced signal processing techniques to the condition monitoring of electrical machine drive systems by Barendse_PS

“…The thesis examines the use of two time-frequency domain signal processing tools in its application to condition monitoring of electrical machine drive systems. …”
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The application of advanced signal processing techniques to the condition monitoring of electrical machine drive systems by Barendse, Paul Stanley

“…The thesis examines the use of two time-frequency domain signal processing tools in its application to condition monitoring of electrical machine drive systems. …”
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Contributions to the theory and applications of univariate distribution-free Shewhart, CUSUM and EWMA control charts

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