Artificial neural networks modelling for mass appraisal of properties

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Gaussian Process Regression for Option Pricing and Hedging by Patel, Ishani

“…This dissertation aims to investigate the accuracy and efficiency of Gaussian process regression (GPR) compared to traditional quantitative pricing algorithms. The GPR algorithm is applied to pricing a down-and-out barrier call option. …”
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Towards the discovery of boiler physics in a Kraft recovery boiler using sparse identification of non-linear dynamics

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Reconstruction of three-dimensional facial geometric features related to fetal alcohol syndrome using adult surrogates by Atuhaire, Felix

“…The 3D face scans in the training set were landmarked by different observers. …”
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Degradation estimation of high energy steam piping using hybrid recurrent neural networks

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Waveform design and processing techniques in OFDM radar by Lellouch, Gabriel

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Decision tree classifiers for incident call data sets by Igboamalu, Frank Nonso

“…The approach was to explore the Information technology incident descriptions and their assigned subjects; thereafter the correctly-assigned records were used for training decision tree classification algorithms using Waikato Environment for Knowledge Analysis (WEKA) software. …”
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Deep adaptive anomaly detection using an active learning framework by Sekyi, Emmanuel

“…Results on the MNIST, CIFAR-10 and Galaxy Zoo datasets show that our algorithm, Ahunt, significantly outperforms other anomaly detection algorithms used on a fixed, static, set of features. …”
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Automatic building footprint extraction using remote sensing data within the City of Cape Town

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Artificial neural network decoding of multi-h CPM by Kannemeyer, Johan Etienne

“…The decoder therefore requires no training. Since all the computation is done by analogue neurons and shift registers, the neural network reduces to a hybrid digital-analogue implementation of the VA. …”
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The design of a hysteroscopy simulator by Kruger, Gerrit V.

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Machine Learning for Radio Frequency Interference Flagging by Harrison, Kyle

“…This work explores the application of supervised machine learning algorithms for RFI flagging, trained on real measurement data and simulated data with simulated RFI. …”
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Machine and component residual life estimation through the application of neural networks

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Navigating the Rules: Integrating TD3 and Sensor Fusion for Traffic-Aware Autonomous Vehicle Path Planning by Elsayed, Mahmoud Ayman Mohamed

“…The study utilizes the CARLA simulator, and real-world datasets, including KITTI and WAYMO, to train and evaluate the proposed algorithm. The proposed algorithm leverages the complementary strengths of Imitation Learning (IL) and Deep Reinforcement Learning (DRL) techniques, IL utilizes human driving data to provide the DRL agent with a foundation for safe and rule-abiding behavior, while the DRL agent refines its decision-making capabilities through real-time interaction with the environment. …”
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Machine learning for antenna array failure analysis by De Lange, Lydia

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D-Tree : examining the efficiency of a community case management mobile medical diagnostic tool by Schramm, Kai T

“…To achieve this overarching goal D-Tree firstly, develops and validates clinical algorithms for use by health workers, secondly they design software for delivering these algorithms on mobile phones, and thirdly enable the effective use of these algorithms on a scalable basis. …”
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Application of machine learning with electroencephalography in seizure detection. by Volschenk, Andre Daniel

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