Mixed-Criticality Scheduling Using Reinforcement Learning by ElSeadawy, Omar

“…Our customized Ape-X model is capable of successfully scheduling sets of jobs of size 50 with an average accuracy of 95% in comparison to other Reinforcement learning algorithms benchmarks conducted, e.g., Augmented Random Search, Proximal Policy Optimization, and Deep Q Networks. …”
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Numerical (FEA) evaluation of crane end buffer impact forces by Haas, Trevor Neville

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A Comparative Study of Nature Inspired Algorithms for Prioritized Foraging by Lee, Jin Ree

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Univariate parametric and nonparametric double generally weighted moving average control charts

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Feasibility study on the reinforcement of Ti6Al4V with tungsten carbide particles using selective laser melting by Mthembu, Noluthando Bright

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Adaptive digital image correlation using neural networks by Atkinson, Devan James

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Enhancing CO2 mass transfer in algal raceway ponds through wave generation by Van Der Linde, Frans Johannes

“…These responses were also measured for a slope that was designed to create waves similar to shoaling ocean waves. This design had set parameters, selected based on theoretical calculations. …”
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Optimised bacterial production and characterisation of natural antimicrobial peptides with potential application in agriculture by Vosloo, Johan Arnold

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Enhancing Concrete Sustainability with Self-Healing Technologies by Abdullatif, Al Shimaa

“…The test results herein reveal that, even with slight decreases in compressive strength, sodium silicate and crystalline admixtures considerably recover transport parameters like water intrusion and chloride penetration caused by crack-sealing. …”
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Developing call out criteria for South African helicopter services: A delphi study by Laatz, Diane Inge

“…By identifying patients that are most likely to benefit from HEMS, their utilisation can be enhanced and adjusted to ensure optimal patient outcome. Aim To systematically utilise expert opinions to reach consensus on HEMS call-out criteria that are contextual to the South African setting. …”
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Techno-economic analysis of seaweed biorefinery scenarios for production of high-value products and biogas by Border, Allistair Fraser

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Contributions to the theory and applications of univariate distribution-free Shewhart, CUSUM and EWMA control charts

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Chromium (VI) reduction in a microbial fuel cell using biogenic palladium nanoparticles and model development

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Relativistic descriptions of polarization transfer observables for quasielastic proton scattering by Hillhouse, G. C. (Gregory Campbell)

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Effect of human male patient diagnosis on syngamy timing and blastulation using time-lapse technology by Steyn, Cheyenne

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Optimised active fault detection for an open loop stable system by Busch, Regardt

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Aerosol synthesis of ceramic particles by seed growth : analysis of process constraints by Human, Chris

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Using metaheuristics with the ranking and selection indifference-zone procedure MMY in problems with many objectives by Prinsloo, Trudie

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Efficient gradient-based optimisation of suspension characteristics for an off-road vehicle

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Deep Hedging of basis risk by Adewusi, Olatomiwa Ayooluwa

“…By fixing the volatility and correlation parameters, Deep Hedging produces results that are comparable to the best existing strategies, in both complete and incomplete market settings, across a variety of moneyness levels.…”
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