Modelling the dynamics of the bitcoin blockchain by Mwale, Mabvuto

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Creating additional network capacity on constrained medium voltage networks utilizing distributed generation (specifically PV technology) by Ramdhin, Avinash

“…Particle Swarm Optimization (PSO) was found to be best suited for this research due to its efficiency to solving non-linear optimization problems and is proposed as the appropriate method of optimally integrating DG to un- constrain MV networks. …”
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Developments in anaerobic digestion modelling by Ghoor, Tasneem

“…Without adequate modelling of AD dynamics, the AD model cannot be used to model digester start-up, digester failure or even upflow anaerobic sludge bed (UASB) reactors (which have temporary failure conditions at the bottom of the bed). …”
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Utilizing available time-varying operating condition information in learning-based methods for fault diagnostics of rotating machinery

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The identification and application of common principal components by Pepler, Pieter Theo

Subjects: “…Hospital utilization -- Length of stay -- Mathematical models…”
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Leaching of nickel laterite with a solution of ammonia and ammonium carbonate utilizing solids liquid separation under pressure by Erasmus, Mothobi

“…The experimental data did not give linear fit to the shrinking core models investigated for the unroasted ore. The reason for this could be due to the sampling time interval which was too far apart, or the leaching behavior of roasted nickel is complicated and cannot explained by shrinking core model alone. …”
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Factors influencing utilization and adherence to Prevention of Mother to Child Transmission of HIV/AIDS services in Rivers State, Nigeria by Jumare, Fadila

“…Although utilization and adherence to PMTCT were reported very high among this population, there were however challenges and barriers to optimal utilization of PMTCT. …”
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The utility of mobile telephone recorded videos as adjuncts to the diagnosis of seizures and paroxysmal events in children with suspected epileptic seizures by Oyieke, Katherine

“…This will include questions relating to optimal recommended models for the intervention and safe ethical practice. …”
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An Impact Assessment of The Effectiveness of Utilizing Informal Health Communication Interventions to Spread Health Recommendations and Change Public Perception by Abdel Mawgoud, Lina Mohamed Ezzat Ahmed

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Quantitative and kinetic studies of solid CACO3, Ca(OH)2 and CaO utilizing vibrational spectroscopy

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The use of condensed tannins and nitrate to reduce enteric methane emission and enhance utilization of high-forage diets in sheep

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A pharmacometric approach to optimal use of second line drugs for multidrug-resistant tuberculosis by Court, Richard Gray

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Optimal production planning and scheduling, case study: Guinness Ghana Brewery Limited, Kumasi by Derkye, Adom

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Optimal reliability-based design of bulk water supply infrastructure-incorporating pumping systems by Papathanasiou, Michael

“…This was seen as necessary owing to the vast spectrum of influences and the interrelation of parameters that constitute a bulk water supply system. A model developed by Chang & van Zyl (2012) sought to address this inefficiency by optimizing a bulk water supply system, with the core objectives of cost and reliability. …”
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Optimal asset allocation for South African pension funds under the revised Regulation 28 by Koegelenberg, Frederik Johannes

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Ontleding en optimering van die logistieke stelsel van 'n ondergrondse steenkoolmyn by Esterhuysen, Daniel George

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Development of titanium alloys for laser powder bed fusion with the use of d-optimal design by Barnard, Christoffel Jacobus

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

“…The results of two case studies, one using a Pareto conditioned network on COVID-19 data from Belgium and the other using a Deep Q-Network, Goal-DQN, and Non-dominated Sorting Genetic Algorithm (NSGA-II) on COVID-19 data from France, are evaluated using both binomial (Stochastic) and Ordinary Differen- tial Equation mathematical models. 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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The relationship between authentic leadership, optimism, self-efficacy and work engagement : an exploratory study by Roux, Shayne

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

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