Investigating the use of interval algebra to schedule mechanically steered multistatic radars by Focke, Richard Wilhelm

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Translation and rotational motion compensation techniques for Inverse Synthetic Aperture Radar (ISAR) Imaging of sea vessels by Ebrahim, Azhar

“…Selecting a combination of the best algorithms formed the ITWSP. The alignment algorithm using sub-integer shift range alignment showed better contrast values and overall image quality compared to the integer shift range alignment algorithm, making it the clear choice for processing. …”
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Developing a data mining classification model to predict the academic performance of students in Public Basic Schools in Ghana using socio-economic variables. a case study of sel... by Sarpong, Alexander

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Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…We implement a reinforcement algorithm to randomly explore new routes and discover the most optimal path through the Q-learning algorithm. …”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…We implement a reinforcement algorithm to randomly explore new routes and discover the most optimal path through the Q-learning algorithm. …”
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Non-intrusive efficiency estimation of induction machines under various power supplies by Gajjar, Chetan Sudhir

“…Coupled with vibration sensors used to determine a motor's speed, measured input voltages and currents are used to deduce a machine efficiency-load profile through the use of a modified evolutionary algorithm, the Non-Intrusive Efficiency Estimation using Population-Based Incremental Learning(NIEE-PBIL) algorithm. …”
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Evolutionary deep learning by Dufourq, Emmanuel

“…We show that evolutionary algorithms can help tame this explosion of freedom, by developing an algorithm that robustly evolves near optimal deep neural network architectures and hyper-parameters across a wide range of image and sentiment classification problems. …”
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Robust portfolio construction: using resampled efficiency in combination with covariance shrinkage by Combrink, James

“…The output is a set of 'optimal' investment weights, one per each share who's returns were fed into the algorithm. …”
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Pellet-size estimation of a ferrochrome pelletizer circuit using Computer Vision techniques by Rabie, Johannes Kasselman

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A design of variable transmission power control for wireless ad-hoc network by Akinsolu, Ojuetimi Ifedayo

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Eco-driving applications to freight trains

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The impact of behavioural diversity in the evolution of multi-agent systems robust to dynamic environments by Hallauer, Scott

“…Thus, we introduce a comparative study of behavioural diversity maintenance methods (based on the MAP-Elites algorithm) versus those without behavioural diversity mechanisms (based on the steady-state genetic algorithm), as a means to evolve suitable degrees of behavioural diversity over increasingly difficult collective behaviour tasks. …”
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Neurocontroller development for nonlinear processes utilising evolutionary reinforcement learning by Conradie, Alex van Eck

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Direction finding of long term evolution enabled handsets for monitoring applications

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Multi-fidelity parameter tuning of parallel Monte-Carlo tree search variants by Mouton, Alexander

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Generalized time-frequency representations and their application to quantum control by Smit, Andre Marius

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Combinatorial evolution of feedforward neural network models for chemical processes by Schmitz, Gregor Peter Josef

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Cooperative collision avoidance for unmanned aerial vehicles by Mphogo, Dinorego

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Modelling and Tracking of the Global Maximum Power Point in Shaded Solar PV Systems Using Computational Intelligence by Sagonda, Arnold Farai

“…The simulation results of the complete PV system show that PSO and Firefly algorithm provided the best results under all weather conditions compared to other algorithms. …”
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The impact of voltage unbalance and regulation on the life expectancy of LV induction machines by Mponwana, Samuel

“…The voltage unbalance on three phase systems is limited to 2%, and 3% for predominantly single-phase systems. Utilities such as Eskom have standards and operating procedures in place to run the networks optimally within these limits. …”
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