Neural networks in control engineering by Trossbach, W

“…These networks are an attempt to create artificial intelligent systems with the ability to learn and remember. They mathematically model the biological structure of the brain and consist of a large number of simple interconnected processing units emulating brain cells. …”
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Predicting stage performance of a multi-stage centrifugal compressor using the overall compressor performance characteristic

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On the progression of leaching from large particles in heaps by Ghorbani, Yousef

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Reconstruction of environmental and climate dynamics using multi-proxy evidence from palaeosols of the Western Cape, South Africa by Eze, Peter Ndubuisi

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Strategic thinking by non-government organisations for sustainability : a review of the logical framework approach by Muspratt-Williams, Angela

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Die ontwikkeling van 'n psigometriese instrument om die leerbenadering van volwassenes te bepaal (Afrikaans)

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The influence of leader behaviour, psychological empowerment, job satisfaction, and organizational commitment on turnover intention by Dhladhla, Thamsanqa John

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Optimal measurement and verification plan on lighting

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Primary refrigeration system commissioning based on a transcritical 2- stage R744 cycle by Teixeira, Daniella

“…Once the system is started, the controllers are manually tuned by an operator to achieve stable and reliable performance. However, this project aims to determine whether a better performance can be achieved by first modelling the system, determining the transfer function of each control loop and designing the controllers mathematically. …”
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Balancing the planned and actual production time within a steelwork fabrication company

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Facebook Interaction as a Potential Marker of Cognitive Decline: Pilot Study by Qansuwa, Esraa M.

“…Using Natural Language Processing (NLP) techniques, including a text analysis application known as the Linguistic Inquiry Word Count (LIWC 2022) and G-Emotion datasets, psychological and linguistic markers, reaching 170 Features, were extracted to train five supervised ML models: Random Forest, Gradient Boosting, Logistic Regression, Support Vector Machine (SVM), and XGBoost. …”
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Energy efficient hybrid routing protocol for wireless sensor networks

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Towards high fidelity mapping of global inland water quality using earth observation data by Kravitz, Jeremy

“…It is hoped the results of this work incrementally improves inland water Earth observation on multiple aspects of the forward and inverse modelling process, and provides an improvement in our capabilities for routine, global monitoring of inland water quality.…”
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Liberalizing wind speed forecasting: a limited-area AI-based approach for South Africa by Van der Bank, Divan Kes

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The development of a forecasting method for mining house capital projects by Michalakis, George

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Temperature reconstruction and acoustic time of flight determination for boiler furnace exit temperature measurement by Raikes, Geoff

“…The furnace exit gas temperature (FEGT) is one of the fundamental parameters necessary to determine the energy balance of the boiler in a coal-fired power plant, and is thus beneficial to the production of reliable thermo-fluid models of its operation and the operation of the systems down and upstream. …”
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An exploratory study of the Directorate of Customs and Excise’s perceptions about the performance management system of the public service in Namibia by Anghuwo, Jacobina Taukondjele

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Batch sizing and scheduling on a volatile production line through the usage of linear optimisation by Hugo, Jeanne-Marie

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Considerations towards the development of a forensic evidence management system

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Growing an Enhanced Culture of Polyphosphate Accumulating Organisms using a University of Cape Town Membrane Bioreactor (UCTMBR) System by Thela, Njabulo

“…In the case of the EBPR process, the PAOs play a critical role. Hence a better understanding of the functions of these microorganisms can allow for greater accuracy in model predictions. …”
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