Proton beam steering control system for high precision radiotherapy at iThemba LABS : an investigation on actuator saturation constraints by Ts`oeu, M S

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Design methods for integrated switching-mode power amplifiers

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Efficient Mixed-Order Hidden Markov Model Inference by Schwardt, Ludwig

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Monte Carlo methods for the estimation of value-at-risk and related risk measures by Marks, Dean

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Robust parameter estimation of finite mixture models with self-paced learning

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Admission Control in Sliced Networks, with Predictive Analytics by Ngufor, Perose

“…We design and evaluate two intra-slice admission control algorithms namely, the Decision Matrix algorithm and the Utility Index algorithm. …”
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Theoretical and numerical aspects of problems in finite-strain plasticity by Eve, Robin Andrew

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Efficient high-order hidden Markov modelling by Du Preez, Johan Adam

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Machine Learning for Radio Frequency Interference Flagging by Harrison, Kyle

“…This work explores the application of supervised machine learning algorithms for RFI flagging, trained on real measurement data and simulated data with simulated RFI. …”
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Exact powers of some multivariate test criteria by Hart, Michael Lester

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Geometric optimisation of conjugate heat transfer in cooling channels with different cross-sectional shapes

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Improved inverse methods in the characterisation of mechanical behaviour of materials

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Studies on factoring polynomials over global fields by Benzaoui, Ilhem

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The optimization of gesture recognition techniques for resource-constrained devices

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Reinforcement learning for power scheduling in a grid-tied pv-battery electric vehicles charging station by Arwa, Erick Odhiambo

“…This study developed and evaluated the feasibility of two RL algorithms, namely, an asynchronous Q-learning algorithm and an advantage actor-critic (A2C) algorithm, in performing power scheduling in the EV charging station under static conditions. …”
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Fast and accurate visibility preprocessing by Nirenstein, Shaun

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Sequential and non-sequential hypertemporal classification and change detection of Modis time-series

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Digital pulse width modulation for Class-D audio amplifiers by Jacobs, Deon

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Reinforcement learning for telescope optimisation by Blows, Curtly

“…Reinforcement learning is a relatively new and unexplored branch of machine learning with a wide variety of applications. This study investigates reinforcement learning and provides an overview of its application to a variety of different problems. …”
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Particle swarm optimization and differential evolution for multi-objective multiple machine scheduling

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