Optimal sizing and placement of independent power producers on MV, HV and EHV networks for minimum power line losses using neural networks by Lombard, James

“…The 66kV ANN model recommends an optimal IPP size of 12MW operating at 0.975 (lagging) power factor, located 14.04km from the sending end substation using an ACSR Kingbird conductor. …”
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Optimal sizing and placement of independent power producers on MV, HV and EHV networks for minimum power line losses using neural networks by Lombard, James

“…The 66kV ANN model recommends an optimal IPP size of 12MW operating at 0.975 (lagging) power factor, located 14.04km from the sending end substation using an ACSR Kingbird conductor. …”
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Principal points, principal curves and principal surfaces by Ganey, Raeesa

“…Principal points of a distribution have been initially introduced by Flury (1990) who tackled the problem of optimal grouping in multivariate data. In essence, principal points are the theoretical counterparts of cluster means obtained by the k-means algorithm. …”
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Fast converging robust beamforming for downlink massive MIMO systems in heterogenous networks

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Key profile optimisation for the computational modelling of tonal centre by Vermeulen, Hendrik Johannes

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Development of a methodology for artificial intelligence-based clustering of stow and pick operations in order to improve logistics performance in small and medium-sized enterprise... by Schroth, Timo Friedrich

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Cooperative target following and collision avoidance for multiple unmanned aerial vehicles by Ubbink, Johan Bernard

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Determining appropriate loss coefficients for use in the nozzle-model of a stage-by-stage turbine model by Marx, Alton Cadle

“…A stage-by-stage turbine nozzle-model incorporating turbine loss coefficient algorithms was developed and validated against real turbine test cases obtained from literature. …”
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A heuristic approach to the deterministic and stochastic air crew pairing problem by Masipa, Lehlohonolo

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Development of a low cost linear fresnel solar concentrator by Walker, Gregg Stuart

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Intelligent control for processing solar photovoltaic energy by Wacira, Joseph Muthui

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A spin on compressive sensing imaging : reticle-based single-pixel imaging system

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Energy Planning Model Design for Forecasting the Final Energy Consumption using Artificial Neural Networks by Eissa, Haidy

“…Furthermore, in this thesis, we use the Bayesian optimization algorithm to search for the optimal network hyperparameters. …”
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Intelligent optimisation of deep drawing process parameters in the production of aluminium non-rotational symmetric monolithic components by Sarema, Blessed

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Creation, optimization and verification of a three dimensional numerical model to simulate a dragline bucket during the digging cycle using modern DEM software by Dymond, Graeme Francois Dryden

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Reinforcement learning microservices scheduler in intelligent edge computing

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Critical analysis of angle modulated particle swarm optimisers

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Resource management in IP networks by Wahabi, Abdoul Rassaki

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Exploring the relationship between multimodal magnetic resonance neuroimaging and cognitive outcomes in children: applying machine learning algorithms to brain MRI features to pred... by Khobo, Isaac

“…Poorer and better cognitive performance categories were identified with a hierarchical clustering algorithm. Regression performance was assessed via 10-fold CV errors, coefficient of determination (R2), and Pearson's r between predicted and actual values. …”
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Reduced order modeling techniques for mesh movement as applied to fluid structure interactions

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