Developing new experimental techniques to investigate the co-linear cluster tri-partitioning by Korsten, Riaan Louw

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The solution of steady-state free surface problems by the finite element method by Chandrasiri, L H G S

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Design, implementation and evaluation of current regulators for high power converters by Du Toit, Jacques Andre

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Optimisation methods applied to compensator placement by Burger, I.

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A bandwidth market for traffic engineering in telecommunication networks by Combrink, J. J. (Jacobus Johannes)

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A parallel multidimensional weighted histogram analysis method by Potgieter, Andrew

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Scalable hierarchical evolution strategies by Abramowitz, Sasha

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Deep adaptive anomaly detection using an active learning framework by Sekyi, Emmanuel

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Determining the number of clusters using penalised k-means clustering

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Vector field histogram star obstacle avoidance system for multicopters by Van Breda, Ruan

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Optimal allocation of distributed generation for power loss reduction and voltage profile improvement by Oluwole, Osaloni Oluwafunso

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Routing in packet switched computer communication networks by Inglesby, Paul

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Engineering Nature-Inspired Heuristics for the Open Shortest Path First Weight Setting Problem

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Unsteady pipe-flow using the Petrov-Galerkin finite element method by Gerber, George

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Material parameter identification for modelling the left ventricle in the healthy state by Essack, Mohammed Asaad

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The development and validation of a respiratory guideline for nurses in primary care in South Africa by English, René Glynnis

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A low-cost design of multiservice SDH networks with multiple constraints by Karem, Tope Razaq

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Intelligent detection of anomalies in telecommunications customer behaviour by Osunmakinde, Isaac Olusegun

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Determination of a robust metabolic barcoding model for chemotaxonomy in Aizoaceae species : expanding morphological and genetic understanding by Hilgart, Amelia

“…Many studies have found that by comparing the vast metabolic fingerprints of closely related species to each other, secondary metabolites tend to be unique to the samples of individual species and are identified in clustering algorithms as the variables responsible for species-specific clustering. …”
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Computational intelligent systems : evolving dynamic Bayesian networks by Osunmakinde, Isaac Olusegun

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