Incremental reinforcement learning for portfolio optimisation by Refiloe, Shabe

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Online traffic engineering for MPLS networks by Botha, Marlene

Subjects: “…Least interference optimization algorithm (LIOA)…”
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Integrated life-cycle cost & risk optimization framework for coastal protection structures by El Hakea, Ayman Hassan Abdel-Wahab

“…By calculating the average maintenance and repair per meter run of every coastal structure, corresponding to the condition of the structure, a Genetic-Algorithm (GA) – based Life-Cycle Cost (LCC) optimization modeling is then developed with the aim to minimize the total LCC for the entire coastal assets up to year 2050, while achieving the minimum reliability of structures, expressed as a Priority Index (PI). …”
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Multi-Objective Optimization Framework for Generation Expansion Planning Under Transmission Constraints by Ruzive, Grace

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Inverse method for static load reconstruction with sensitivity filtering and optimal sensor placement by Hanekom, M.

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A heuristic optimal approach for coordinated volt/var control in distribution networks

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Optimization of a low speed wind turbine using support vector regression by Wise, John Nathaniel

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A multi-objective optimization tool for the Malawian tea industry with sustainability considerations by Taulo, John Loti

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Application of clustering techniques for improved energy benchmarking on deep-level mines by Caromba, Claudio Mauricio

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Optimisation of microchannels and micropin-fin heat sinks with computational fluid dynamics in combination with a mathematical optimisation algorithm

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Enhancing detection of cervical cancer through deep learning: a comparative study of histological image-based algorithms by Tjale, Palesa

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An empirically derived system for high-speed rendering

Subjects: “…Instruction set utilisation…”
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Utilization of artificial neural networks to resolve chemical kinetics in turbulent fine structures of an advanced CFD combustion model by Laubscher, Ryno

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LABCAT: locally adaptive Bayesian optimization using principal-component-aligned trust regions by Visser, Emile

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Time series forecasting using dynamic particle swarm optimizer trained neural networks

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Optimizing COVID-19 control measures using multi-objective deep reinforcement learning by Folarin, Arinze Lawrence

“…The study highlights the potential of multi-objective deep reinforcement learning as a method of optimizing public health interventions by shedding light on the optimum COVID-19 control methods for various scenarios and models. …”
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Optimal design of a guided wave rail web transducor using numerical modelling

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An evaluation of inertial motion capture technology for use in the analysis and optimization of road cycling kinematics by Cockcroft, Stephen John

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