Multi-objective optimisation under deep uncertainty by Shavazipour, Babooshka

“…Nevertheless, analysis of the length of the planning horizon and its effects on the solutions to the proposed frameworks indicate that utilising the three-stage models is more efficient for longer periods because the differences between the solutions of the two proposed structures increase by any iteration of the algorithms in moving horizon models. …”
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Multi - antenna multi - carrier space – time - frequency precoded code division multiple access employing complete complementary codes

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Automation of ultrasonic-based product tracking & traceability in supply chains by Mkombwe, Anorld

“…Innovative algorithms and device design modifications address key challenges, such as signal attenuation, environmental noise, and energy consumption, enhancing signal clarity and data retrieval efficiency. …”
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Sensitivity analysis of multilayer neural networks by Engelbrecht, Andries Petrus

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Concept demonstrator for a decision support tool for agricultural applications by Van Rooyen, J. C.

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HIV-1C dynamics and evolutionary trends in Botswana by Moyo, Sikhulile

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The dynamic modelling and development of a controller for a general purpose remotely operated underwater vehicle by Finbow, Maximillian

“…An extensive overhaul of the SEAHOG GUI is performed, utilising multicore processing architecture in LabVIEW and resulting in a user-orientated interface capable of controlling and monitoring all existing system data from the robot.…”
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Stall prevention control of fixed-wing unmanned aerial vehicles by Basson, Matthys Michaelse

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Estimation of external disturbance torques on CubeSats to enhance full state attitude estimation accuracy and mission success by Habila, Asia Saeed Kajo

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Energy management of micro-grid using cooperative game theory by Oladejo, Ismaheel Oyeyemi

“…Using the same parameter setting for all the heuristic algorithms used, 20 trials are performed to be able to compare the quality of solution and convergence characteristics. …”
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A remote sensing-machine learning framework for modelling forest health by Poona, Nitesh Keshavelal

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Emergency department design evaluation and optimization using discrete event simulation by Rofaeel, Irinie Wanis Tadros

“…Twenty additional simulation runs were performed to be used for the regression analysis. The equations resulted from the regression analysis were used for the optimization model. …”
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Volatility Model Pricing and Calibration with Neural Networks using Bayesian Optimisation by Goosen, Jenna

“…The best performing models are tested and compared for accuracy, speed and robustness for pricing and calibration. …”
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The application of advanced signal processing techniques to the condition monitoring of electrical machine drive systems by Barendse_PS

“…Condition monitoring of electrical machines is a field which continuously demands improvement, especially as the tasks performed by these machines become more demanding and complex. …”
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The application of advanced signal processing techniques to the condition monitoring of electrical machine drive systems by Barendse, Paul Stanley

“…Condition monitoring of electrical machines is a field which continuously demands improvement, especially as the tasks performed by these machines become more demanding and complex. …”
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Structural analysis in a distributed collaboratory by Van Rooyen, G. C. (Gert Cornelis)

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A comparative study of recurrent neural networks and statistical techniques for forecasting the stock prices of JSE-listed securities by Galant, Rushin

“…The number of input observations utilised were varied from four to fifteen observations whilst making forecasts from one up to ten timesteps into the future. …”
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Metaheuristics for the selection and scheduling of jobs with time-dependent durations by Le Roux, Gavin James

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Software-defined pulse-doppler radar signal processing on graphics processors

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