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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Optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff

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Optimal approach to energy management and gas delivery of a compressed natural gas station

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Time series forecasting using dynamic particle swarm optimizer trained neural networks

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Optimal loan portfolio (A case study of Atweaban Rural Bank, Duayaw Nkwanta) by Kwarteng, Ernest

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An approach to multi-objective life cycle cost optimization of wind turbine tower structures by Horsthemke, Hagen Wolfgang

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Optimal governance of and stakeholder involvement in a medicines regulatory authority to enable pharmaceutical innovation

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Optimizing dental implant performance through selective laser melting (SLM) design and manufacturing by Wafula, Jacob Nyongesa

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A forecasting framework for demand forecasting of utility-scale electricity networks in a rapidly evolving power system environment by Breedt, Jana

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Stochastic reliability modelling for complex systems

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Sparse coding for speech recognition

Subjects: “…Mathematical optimization…”
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Demand side management of a run-of-mine ore milling circuit

Subjects: “…Model predictive control…”
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Data modelling & Bayesian model comparison with spherically symmetric priors by Jamodien, Riyaadh

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The utilization of local agent knowledge by multinational MedTech firms in Emerging Markets Internationalization : a dynamic capabilities perspective

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Strengthening discourse - intensive pedagogical practices : the utility of peer-facilitated small-group discussions to develop critical-analytic thinking

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Factors that influence household health care utilization patterns in two districts of Zambia : a rural - urban comparative evaluation by Nkosi, Moremi Eric

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