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Development of a process modelling methodology and condition monitoring platform for air-cooled condensers
Published 2021“…This study focuses on modelling a utility-scale ACC system at steady-state conditions applying a 1-D network modelling approach and using a component-level discretization approach. …”
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Modelling the technical influence of randomly distributed solar PV uptake on electrical distribution networks
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The development of a risk-based model to predict corrosion fatigue failures in subcritical boilers
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Mathematical modelling of the population impact of screening for Chlamydia Trachomatis and Neisseria gonorrhoeae in South Africa
Published 2019“…Here we utilize dynamic mathematical modelling to evaluate the potential impact of opportunistic STI screening programs on the incidence and prevalence of Chlamydia trachomatis and Neisseria gonorrhea in South Africa. …”
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Using mathematical models to track phosphorus in a full-scale wastewater treatment plant
Published 2023“…To address these challenges, the plant wide model (PWM_SA) of Ikumi et al. (2015) was utilized to evaluate and propose operational strategies for Zeekoegat WWTW of the City of Tshwane to help with future design or optimized operation of the system. …”
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A sustainable model for the provision of youth-friendly sexual and reproductive health services in Kenya
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Modelling highly imbalanced credit card fraud detection data using statistical learning
Published 2024“…The findings from the experiments can serve as a foundation for selecting the best sampling technique and supervised learning models to utilize with various degrees of dataset imbalance.…”
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A CMIP5 Model Selection Specific to South Africa's Winter Rainfall Zone
Published 2023“…While the range of future temperature projections of the final ensemble are somewhat constrained in comparison to the full ensemble, the primary utility is argued to be the reduced number of models where a future researcher may consider each model's projected future climate pathway individually before selecting a model, or models, which best informs their use case, whilst being assured that this model performs suitably well in the region and that the initial ensemble considered adequately represents model uncertainty, while strong similarity between two or more models within the ensemble will not be unduly biasing results.…”
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A machine learning-remote sensing framework for modelling water stress in Shiraz vineyards
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Modelling public transport mode choice for low-income residential suburbs in Harare, Zimbabwe
Published 2023“…Multinomial, mixed, and latent class logit models are developed under the random utility maximisation framework and compared to identify the best model. …”
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Mobile robot optimum trajectory Development using a hybrid reactive navigation model
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e-Parliament to e-democracy : creating a model for effective management of public content
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The impact of activation of the renin-angiotensin system in the development of insulin resistance in experimental models of obesity
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Process modelling of sugar mill biomass to energy conversion processes and energy integration of pyrolysis
Published 2012“…The aim of process modelling was to utilizing sugar cane bagasse as an input energy source to supply the energy requirements of two sugar mill configurations (efficient and less efficient mills), while generating extra electricity and high valued energy products for sale. …”
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A bio-psycho-social follow-up model for children born with oesophageal atresia
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Assessing the Performance of Global Solar Radiation Empirical Models at a Sahelian Site, Sokoto, Nigeria
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Socioeconomic inequalities in the use of skilled birth delivery during childbirth in Ghana: a decomposition model
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A temporal prognostic model based on dynamic Bayesian networks: mining medical insurance data
Published 2021“…The models are used for prediction purposes of guiding doctors to make a smart diagnosis, patient-specific decisions or help in planning the utilization of resources for patient groups who have similar prognostic paths. …”
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Exploring the potential of using remote sensing data to model agricultural systems in data-limited areas
Published 2020“…Regardless of their wide utilization, the employment of these models, particularly in isolated and rural areas, is often limited by the lack of reliable input data. …”
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BIM-based structural optimization for reinforced concrete floors using evolutionary algorithms
Published 2020“…Optimizing the design requires the architect to prepare several design alternatives with different space utilizations approaches without compromising the architectural requirements or the function of the building. …”
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