Discriminating coughs in a multi-bed ward environment by Leng, Corwynne

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Intonation modelling for the Nguni languages

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Disentangled representations in speech processing applications by Baas, Matthew

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Peer-to-peer biometric verification using nfc-enabled smartphones

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Detecting Electrical Submersible Pump (ESP) Failures and Estimating Run Life Using Artificial Neural Networks by Sobhy, Mostafa Ahmed

“…The RUL prediction module achieves high accuracy (R² > 0.96; MAE < 10 days) through supervised algorithms specifically designed for the ESPs' dataset dynamics. …”
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Project Leanness Score: A Machine Learning Approach by Said, Julia

“…Fourth, benchmarking the leanness score representing the industry’s performance through collecting extensive project data from 30 construction projects. Fifth, training and validating models using machine learning algorithms such as regression, decision trees, and artificial neural networks to predict the schedule and budget performance of construction projects using the factors of the leanness score. …”
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Mixed-Criticality Scheduling Using Reinforcement Learning by ElSeadawy, Omar

“…Sensitivity analysis shows that training the model with randomized parameters yields a stable performance that is relatively robust to some changes in the generated instances. …”
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Modelling of the deaerator system in Flownex by Banda, Richard Bobby

“…The study of the steady-state and dynamic behaviour of thermal power plants is of interest and significant benefit in different engineering fields ranging from research and design, to the assistance of operator training, plant optimization, fault finding and failure analysis. …”
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Image analysis for a mobile phone-based assessment of latent tuberculosis infection by Maclean, Sarah

“…This was due to the homogeneity between the indurations and the surrounding skin, rendering the algorithm ineffective in delineating the indurations to obtain the diameter measurement required for diagnosis. …”
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Wearable device localisation and its effect on activity recognition using machine learning

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Identifying predictive markers in complex samples of biogenic volatile compounds using GC×GC-TOFMS and machine learning

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Fast accurate diphone-based phoneme recognition by Du Preez, Marianne

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Augmenting the action space with conventions to improve multi-agent cooperation in Hanabi by Bredell, Francois

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Traditional Image Processing and Modern Computer Vision Techniques for the Study of Two-Phase CO2 Flow by Kadish, Shai

“…Traditional image processing is used to develop an algorithm which extracts the void fraction value from an image of bubbly flow. …”
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Satellite change detection in the albany thicket biome by Mahlasi, Craig

“…Continuous change detection classifiers allocate pixels throughout a time series to predefined classes using labelled training data. The majority of tools that seek to perform continuous land cover change detection have been developed for forests and thus tend to perform poorly in thicket ecosystems. …”
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Hierarchical Reinforcement Learning in Minecraft by Rossouw, Francois Armand

“…M any c urrent r einforcement learning (RL) algorithms rely on a lengthy trial-and-error training process, making it infeasible to train them in the real world. …”
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3D approximation of scapula bone shape from 2D X-ray images using landmark-constrained statistical shape model fitting by Wasswa, William

“…The Euclidean distances confirm that a posterior model moves closer to the CT image, hence it reduces the search space for a more exact patient-specific 3D reconstruction by other fitting algorithms.…”
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Unsupervised anomaly detection for the ATLAS Level-1 Trigger by Stern, Thomas

“…These methods rely on the availability of clean training data to teach the model what “normal” samples are. …”
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ADHD screening tool: investigating the effectiveness of a tablet-based game with machine learning by Swarts, Romano

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FD-TD synthesis and resonance based identification of GPR returns from buried land-mines by Van der Leij, Willem Rienk

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