Stock Market Manipulation Detection Using Continuous Wavelet Transform & Machine Learning Classification by Youssef, Sarah

“…Implementing data mining algorithms in manipulation detection is a relatively recent technique but in the past few years there has been an increasing interest in it's applications in this domain. …”
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The characterization of the components of the energy and water balance within hedgerow orchards for the verification of a two-dimensional water balance and energy interception mode...

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Automated analysis of digital medical images in cervical cancer screening: A systematic review by Ledwaba, Leshego

“…Results This systematic review found 16 studies which reported application of algorithms paired with novel image acquisition devices, and 52 studies reporting on standalone image analysis algorithms. …”
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Predicting household poverty with machine learning methods: the case of Malawi by Chinyama, Francis

“…These supervised learning algorithms were trained using 10-fold cross-validation. …”
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Prospecting for enigmatic radio sources with autoencoders : a novel approach

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Analysis of a deep neural network for missing transverse momentum reconstruction in ATLAS by Leigh, Matthew

“…In this work, a deep neural network was trained using supervised learning to measure this imbalance. …”
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Exploring the application of Natural Language Processing to scientific medical cannabis publications by de Beer, James Charles

“…Analyzing the large quantities of available text data using natural language processing and machine learning algorithms could improve the speed and accuracy at which cannabis research is processed, as well as expose hitherto unknown connections between cannabis compounds and the treatment of healtth conditions. …”
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Rail surface anomaly detection : a deep learning . approach for computer vision

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The application of neural networks to communication channel equalisation : a comparison between localised and non-localised basis functions by Olshewsky, Avron Bernard

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Towards high fidelity mapping of global inland water quality using earth observation data by Kravitz, Jeremy

“…Atmospheric correction remains a difficult challenge to operational freshwater monitoring, however, the study further validated previous work confirming applicability of simple, empirically derived retrieval algorithms using top-of-atmosphere data. The apparent scarcity of paired in-situ optical and biogeophysical data for productive inland waters also hinders our capability to develop and validate robust retrieval algorithms. …”
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Design and optimization of an embedded machine learning image processing system with a Linux SOC for large-scale livestock tallying by Le Roux, Morne

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Graph Neural Network Applications in Electronic Design Automation by Helaly, Abdelrahaman Wael

“…The pipeline integrates three main components: (1) A GNN-based model, trained in an unsupervised manner to generate initial color predictions, which are refined by (2) Algorithmic refinement strategies (a GNN-based heuristic and simulated annealing) or (3) Learning-based refinement (reinforcement learning and large language models) that together enhance solution quality and balance. …”
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Impact assessment of large-scale penetration of permanent magnet synchronous generators on power quality by Ntsadu, Ntlahla

“…PMSGs are attractive due to the absence of a gearbox in the drive-train, which results in lower maintenance costs and higher reliability. …”
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Object detection for signal separation with different time-frequency representations

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Machine Learning techniques to discover and understand the population of flare stars in MeerLICHT data by Bangiso, Aphiwe

“…As additional work, we attempt to find sub-classes within the M-type class in MeerLiCHT data using k-means and hierarchical clustering algorithms. We find two distinct sub-classes in this data. …”
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The application of neural differential equations to enzymatic time-series by Heusdens, Danica Aimee

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Rail surface anomaly detection : a deep learning approach for computer vision

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Money Laundering Alert Prioritisation Using Machine Learning and Benford’s Law by Spies, Luka

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Investigating automated bird detection from webcams using machine learning by Mirugwe, Alex

“…Through the use of transfer learning, all the models were initialized using weights pre-trained on the MS COCO (Microsoft Common Objects in Context) dataset provided by the TensorFlow 2 object detection API. …”
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Development of a Low-Cost System for Monitoring Root Growth Dynamics by De Raay, Yasmin

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