Load models for technical, economic and tariff analysis of medium voltage feeders by Buys, Johannes Lolo

“…The load models proposed here uses the k-means clustering algorithm as the basis for classification. The load models enable the classification of loads and assignment of load profiles accordingly. …”
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Using Machine Learning and the Water Evaluation and Planning model to Evaluate Climate Change Impacts on Surface Water Allocation in the Upper Awash Sub-Basin, Ethiopia by Hirko, Deme Betele

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Mesoscale Wind Atlas of South Africa by Hagemann, Kilian

“…Given the background of limited available computational resources a sophisticated temporal subsetting algorithm is developed and applied. The goal here is to allow a high resolution 18 by 18km simulation to be carried out over only 365 days of historical records (20 March 1996 until 19 March 1997), yet ensure that it is possible to construct a reasonably accurate climatology from such a short time period because it represents the most typical year available. …”
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Mesoscale wind atlas of South Africa by Hagemann, Kilian

“…Given the background of limited available computational resources a sophisticated temporal subsetting algorithm is developed and applied. The goal here is to allow a high resolution 18 by 18km simulation to be carried out over only 365 days of historical records (20 March 1996 until 19 March 1997), yet ensure that it is possible to construct a reasonably accurate climatology from such a short time period because it represents the most typical year available. …”
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Field D* pathfinding in weighted simplicial complexes by Perkins, Simon

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Uterine balloon volume shifts using a free-flow uterine balloon in the management of refractory postpartum haemorrhage by Hassim, Tasleem, Kidd, Martin

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Dental implant recognition by Kohlakala, Aviwe

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Low bit rate speech coding by Kritzinger, Carl

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Radar-Based Multi-Target Classification Using Deep Learning by Mashanda, Nyasha Ernest

“…To achieve these objectives, radar data was collected using a C-band pulse-Doppler radar and converted to spectrograms using the Short-time Fourier transform (STFT) algorithm. Spectrograms of the following classes were utilised in classification: one human walking, two humans walking, one human running, moving vehicles, a swinging sphere and clutter/noise. …”
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Mixed-Criticality Scheduling Using Reinforcement Learning by ElSeadawy, Omar

“…Our customized Ape-X model is capable of successfully scheduling sets of jobs of size 50 with an average accuracy of 95% in comparison to other Reinforcement learning algorithms benchmarks conducted, e.g., Augmented Random Search, Proximal Policy Optimization, and Deep Q Networks. …”
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Artificial neural networks and the cross-section of equity returns: identifying nonlinear opportunities on the Johannesburg Stock Exchange by Reed, Joshua

“…The activation function, training algorithm, learning rate, number of epochs, batch size, and loss function are kept constant across architectures. …”
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Optimisation study of geographical allocation of solar PV generation capacity for grid support by Vermeulen, Vicki-Mari

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Multi-objective optimisation of water distribution systems design using metaheuristics by Raad, Darian Nicholas

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A Novel Design-for-Test flow using LibreLane by Gaber, Mohamed E

“…It investigates various strategies for ordering of a scan chain, comparing the current approaches of ordering a netlist, or a greedy closest-first algorithm, to the decades of work on optimizing the traveling salesman problem. …”
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Development of cooperative behavioural model for autonomous multi-robots system deployed to underground mines by Yinka-Banjo, Chika Ogochukwu

“…The intelligent model was developed by harnessing the strengths of both QL and ACS algorithms. The ACS is used to optimize the routes used for each robot while the QL algorithm is used to enhance cooperation among the autonomous robots. …”
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The impact of assimilating along-track SLA data on simulated Eddy characteristics in the Agulhas system by De Vos, Marc

“…To this end, an automatic eddy detection and tracking algorithm is implemented, in order to quantify eddy characteristics in a coherent and consistent manner.…”
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Comparison of vertical handover decision-based techniques in heterogeneous networks by Edia, Adada

“…Future generation networks will be heterogeneous in nature because no single network type is capable of optimally meeting all the rapid changes in customer demands. …”
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Volatility Model Pricing and Calibration with Neural Networks using Bayesian Optimisation by Goosen, Jenna

“…Bayesian Optimisation algorithms are implemented to select models with the lowest loss metric for SABR and Heston volatility models. …”
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Generating new data points using singular value decomposition by Biyana, Tlhologello

“…The method involves utilising SVD to generate new data, mimicking a predictive modelling formula by combining systematic and error components. …”
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Freeform support-free additive manufacturing with continuous fiber reinforced photopolymer. by Kirkman, Daniel Mark

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