Development of an automated method for generating patient-specific mandible reconstruction plates based on mandibular landmarks by Hanekom, Werner

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The effectiveness of the use of shark dorsal fin photo-identification methods to aid in the conservation of Carcharodon carcharias and Carcharhinus brachyurus by Maroen, Megan Melissa

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Robust voice activity detection for low-resource automatic speech recognition by Wilkinson, Nicholas

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Improving counting performance of densely flocked sheep in aerial imagery by Biggs, D. R.

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Analysis of the transition between Tubular Modular Track and ballasted railway by Visser, Deon

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Convolutional and fully convolutional neural networks for the detection of landmarks in tsetse fly wing images by Makhubele, Mulanga

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Evaluation of statistical analyses for the identification of surrogates and indicators using historical plant data from a water reclamation plant by Coomans, Cornelius Johannes

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Off-line signature verification using ensembles of local Radon transform-based HMMs by Panton, Mark Stuart

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Short-term power output forecasting for large multi-megawatt photovoltaic systems with an aggregated low-level forecasting methodology by Du Plessis, Armand

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Reconstruction of 3D models of the femur from planar x-rays for surgical planning by Oosthuizen, Jodri

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Non-linear neurocontrol of chemical processes using reinforcement learning by Hunter, Stephen Leon

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Monitoring of froth systems using principal component analysis by Kharva, Mohamed

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The design principles and success factors for the operation of cross dock facilities in grocery and retail supply chains by Vogt, John Joseph

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Planning for electric paratransit: the feasibility of electrifying internal combustion engine vehicles by Lacock, Stephan

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Load management of electric water heaters in a smart grid through forecasting and intelligent centralised control by Roux, Marcel

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Development of infrared spectroscopic methods to assess table grape quality by Daniels, Andries Jerrick

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Residential load modelling to predict household consumption for design of photovoltaic systems by Avenant, Jason

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Remote sensing of salt-affected soils by Mashimbye, Zama Eric

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Deep Calibration of Option Pricing Models by Dadah, Sahil

“…The best set of hyperparameters is used to train the networks and tested on out-of-sample actual market yield curves data. …”
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LSTM prediction capability on the South African JSE Top 40 of historical and live data by Elhag, Mohsen

“…Various LSTM models were trained with different configurations, and the results show that a single-layer LSTM model performs better than its multilayer counterpart in processing historical data, in terms of the mean absolute error (MAE), the root mean square error (RMSE), Mean Absolute Percentage Error (MAPE) and the R-squared. …”
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