Methods that improve high frequency Single Flux Quantum electronics design by Le Roux, Paul

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Development of a nonlinear predictive control algorithm and its application to flotation by Knights, Benjamin D H

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The improvement of a battery thermal management system for an electric vehicle by Vosloo, Christoffel Jacobus

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Flexible network management in software defined wireless sensor networks for monitoring application systems

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Methods of enhancing the MOO CEM algorithm by Trankle, Veronique

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Performance comparison of two dynamic shared-path protection algorithms for WDM optical mesh networks

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Economic benefits of surface runoff harvesting for supplemental irrigation for sub-saharan Africa: Case study of Soroti, Uganda by Kimera, Fahad

“…This study presents a sustainable economic solution for the problem of crop yield reduction due to short droughts during the rainy season, more particularly for maize as a staple crop. …”
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Ethical Constraint-Based MPC with Adaptive Weight Scheduling for Autonomous Vehicles in Diverse Scenarios by Aafia`, Hend Mohammed

“…By treating ethics as a constrained optimization problem rather than a symbolic decision layer, the proposed E-MPC provides a physically grounded, interpretable, and scalable approach to ethical autonomous driving under real-world constraints.…”
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Applying the cross-entropy method in multi-objective optimisation of dynamic stochastic systems by Bekker, James

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Advanced analytics strategy formulation by Steyn, H. J.

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Diagnosis and prognosis of rolling element bearings at low speeds and varying load conditions using higher order statistics and artificial intelligence

“…Empirical models include the fields of regression and classification which are also collectively referred to as supervised learning and is dependent on its construction or optimization on large sets of representative data. In classifying faults in rolling element bearings (REBs) at low speeds and under varying load conditions, support vector machines for regression and genetic algorithm (SVMGA) which is a supervised machine learning algorithm can be used for its classification or regression problems. …”
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A return on investment study of Employee Assistance Programmes amongst corporate clients of The Careways Group

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Model predictive static programming control applied to mineral processing plants

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Multi-objective optimisation under deep uncertainty by Shavazipour, Babooshka

“…Most of the decisions in real-life problems need to be made in the absence of complete knowledge about the consequences of the decision. …”
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Development of immuno- nanoparticles for targeting schistosoma parasites by Abdul-Ghany, Eman Rabie

“…Hence, selective drug delivery is an important approach with great potential for overcoming problems associated with the systemic toxicity and poor bioavailability of PZQ. …”
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Investigating the role of a FAM111B mutation in hereditary fibrosing poikiloderma (POIKTMP) using induced pluripotent stem cell (iPSC) model by Gumede, Dimakatso B

“…Unfortunately, analysis of the FAM111B protein data was inconclusive. Problems related to synchronization of the cells and the specificity of the antibody would have to be rectified in order to follow this further. …”
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Energy efficiency control of direct expansion air conditioning systems

“…The upper level is an open loop nonlinear optimizer, which only collects measurement information and solves a distributed steady state optimization problem to adaptively and automatically generate time-varying and optimised reference points of indoor CO2 concentration, relative humidity and air temperature for the lower-layer controllers, by minimizing the demand and energy costs of a multi-zone building ME A/C system under the TOU price structure of electricity according to the changing circumstance during the day. …”
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Electricity production from sugar industries in Africa : a case of South Africa by Banda, Azel

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Telecommunications Technology Transfer/Diffusion Model Into Rural South Africa

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