Optimized discharge excitation techniques for short pulse gas lasers : TEA CO2 laser by Kyeyune, Farooq

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A feasibility study of trajectory optimisation on a low-cost legged platform with open loop control. by Coetzer, Margarethe

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A study of gradient based particle swarm optimisers

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Short-term wind power forecasting using artificial neural networks-based ensemble model by Chen,Qin

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Parallel machine scheduling problem with sequence dependent setup times : a case study at a wheat mill

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Building the capacity of students in creative problem-solving and critical thinking skills: Aesthetic narrative of Ayigya Township, Ghana by Kquofi, Steve, Adom, Dickson

“…The findings demonstrated how dispersed aesthetic elements are in everyday life and how this appreciation would have a positive impact on the Senior High School student’s capacity for creative problem-solving and critical thinking skills. It is suggested that students develop alternative means of expressing their creativity. …”
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The effect of covid-19 lockdown on healthcare utilisation and hospital mortality in children < 5 years of age in a large Cape Town District, South Africa by Elmi, Noradin

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The effect of a mathematical aided language stimulation programme for subtraction word-problem solving for children with intellectual disabilities

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Optimal energy-efficiency retrofit and maintenance planning for existing buildings considering green building policy compliance

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A source-destination based dynamic pricing scheme to optimize resource utilization in heterogeneous wireless networks by Mutungi, Jeremiah Nzioka

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Characterization of the high temperature caustic conditioning process for optimized gold recovery from double refractory ores

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End-to-end security mechanisms for the optimized link state routing protocol for wireless ad hoc networks by Asherson, Stephen Warren

“…In this dissertation, the focus lies on the Optimized Link State Routing (OLSR) protocol, a proactive protocol which relies heavily on broadcast transmissions. …”
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Crafting asset allocation for a re-insurer via portfolio optimisation by Abdulla, Mubeen

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3D turning analysis of a Bipedal Robot by Pretorius, Dean

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Investigating how learners use representations in understanding fractions -- a semiotic perspective in a modelling classroom by Hearne, Lindy

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A comparative study on the value of accounting for possible relationships between decision variables when solving multi-objective problems by Scholtz, Esmarie

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Laerskoolleerlinge se spontane metodes om probleme wat deling met 'n breuk vereis, op te los by Du Toit, Jacobus Johannes

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Using particle swarm optimisation to train feedforward neural networks in dynamic environments

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Optimal energy management for a grid-tied solar PV-battery microgrid: A reinforcement learning approach by Muriithi, Grace

“…Secondly, a deep Q network (DQN) method that uses recent learning algorithm enhancements, including experience replay and target network, is developed to learn the system uncertainties, including load demand, grid prices and volatile power supply from the renewables solve the optimal energy management problem. Unlike the Q-learning method, which updates the Q-function using a lookup table (which limits its scalability and overall performance in stochastic optimization), the DQN method uses a deep neural network that approximates the Q- function via statistical regression. …”
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