Bayesian online homography estimation and its use in multiple object tracking

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Adaboost and its application using classification trees

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Hyperspectral / multispectral imaging technology: application for pomegranate fruit internal quality evaluation and bruise detection by Okere, Emmanuel

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Predictive maintenance using clustering methods for the use-case of bolted connections in the automotive industry by Bekker, Emmarentia Lydia

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Investigating the photosynthetic and hydraulic trade-off during drought recovery in eucalypts by Saunders, Alta

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Developing and Forecasting the Egyptian Construction Cost Index by Elsaied, Mayada

“…Simultaneously, an advanced machine learning model is developed with dual objectives: a) to uncover intricate relationships between CCI and various construction-related parameters, such as the Consumer Price Index (CPI), Producer Price Index (PPI), GDP, Money supply, domestic liquidity, and others; and b) to predict future CCI values based on these identified parameters. …”
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A search for tWZ production in the trilepton channel using Run 2 data from the ATLAS experiment by Warren, Benjamin

“…Events were separated into mutually-exclusive regions of phase space to increase the ratio of signal to backgrounds and to calibrate the modelling of the backgrounds. Background events were further suppressed through the use of the Gradient Boosted Decision Tree (GBDT) machine learning algorithm. …”
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CogniVault: Enabling Privacy-Aware Cognitive Distortion Detection in Intelligent Mental Health Applications by Dawoud, Mariam

“…The framework includes Cognify, a mobile journaling application that detects cog- nitive distortions in user-written journal entries using a locally deployed machine learning model. Cognitive distortions are maladaptive thought patterns such as catastrophizing or personalization, which the app identifies to provide therapeu- tic insights. …”
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Human-robot collaboration for efficient circularity decision-making for end-of-usage products by Löffler, Stefanie

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Characterizing variable renewable energy generation uncertainty towards improved forecasting and operational decision making by Mararakanye, Ndamulelo

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Identifying optimal genetic markers for predicting quantitative measures in neuropsychiatric disorders by O’Meara, Mika Isabella Grace

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Investigating language preferences in improving multilingual Swahili information retrieval by Telemala, Joseph Philipo

“…Some are heuristics, such as round-robin, in which a result is drawn from each result list one at a time until all lists are exhausted, while others are Machine Learning (ML)-based, in which a model is trained using a variety of features from the query and the required documents. …”
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The Egyptian Dementia Network (EDN): A Multimodal Registry for Advancing Dementia Epidemiology and Precision Research in Egypt and Other LMICs by Heikal, Shimaa Adel

“…To translate multimodal registry data into potential clinical utility, a localized machine learning model, the Dementia Riskometer, was developed. …”
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Skills development of mechanised softwood sawtimber cut-to-length harvester operators by Wenhold, Roland Marius

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Insurance recommendation engine using a combined collaborative filtering and neural network approach by Pillay, Prinavan

“…Both methods were deployed using the Tensorflow machine learning framework. The hybrid approach helps solve for cold start problems where users have no interaction history. …”
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A case study variate analysis of low-income learner progression in South Africa’s high school system by Visser, Jemma Ann

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Effective governance through implementation of appropriate algorithms in share trading by Anna Elizabeth (Nannette), Botha

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Efficient access network selection and data demand prediction for 5G systems by Paul, Udita

“…Additionally, based on the traffic analysis, the optimal dimensions of the data centre in different regions are heuristically obtained. Finally, machine learning algorithms are employed to obtain future traffic demand values to aid dynamic allocation of data centre resources. …”
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Towards high fidelity mapping of global inland water quality using earth observation data by Kravitz, Jeremy

“…Finally, the synthetic dataset was used to train and test four state-of-the-art machine learning architectures for multi-parameter retrieval and cross-sensor capability. …”
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Approaches to Artistic Style Suppression: An Evaluation Framework for Copyright Compliance in Generative Artificial Intelligence by Cumming, Aedan

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