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

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Metaheuristic search behaviour characterisation by Hayward, Lauren P.

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Harnessing wilderness in the rehabilitation of male adolescent offenders in a diversion programme by Botha, Marlon

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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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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 study set out to investigate the environmental aesthetics present in habitual areas, specifically in Ayigya Township, Ashanti Region, focusing on picture-making tendencies for optimal skill development. A total of 346 respondents from various structures were specifically chosen to participate in the study using the Narrative Case Study Design under the qualitative research approach. …”
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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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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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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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A source-destination based dynamic pricing scheme to optimize resource utilization in heterogeneous wireless networks by Mutungi, Jeremiah Nzioka

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

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

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

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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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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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The use of Building Information Modelling (BIM) to aid in creating optimal design and construction of real estate buildings in Ghana by Okantah, Edward

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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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