A framework for estimating risk by Kroon, Rodney Stephen

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A Virtual-Reality-Based Dental Simulator for Endodontics with Automated Formative Feedback by Abo El Ela, Yousef Salah

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Multi-dimensional direct-sequence spread spectrum multiple-access communication with adaptive channel coding

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A generic optimisation framework for reinforcement learning in the foreign exchange market by De Wit, John Spencer

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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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A predictive model for precision tree measurements using applied machine learning by Pieterse, Johannes Lodewyk

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Evaluating a South African mobile application for healthcare professionals to improve diagnosis and notification of pesticide poisonings by Kabanda, Siti

“…Despite this useful platform for training HCPs, there are limited studies that have evaluated mobile applications or technologies to promote HCPs training in LMICs. …”
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An Analysis of Overfitting in Particle Swarm Optimised Neural Networks

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Incorporating sensor measurements using data assimilation and machine learning to improve the accuracy of thermal finite element models

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Neural networks for time series analysis

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A feasibility study of elementary reinforcement learning-based process control by Bras, Edward Hendrik

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Classification of multiwavelength transients with machine learning by Sooknunan, Kimeel

“…The expected increase in performance, as more training data are acquired, is shown by training the classifier on a simulated representative training set, achieving an average accuracy of 95.8% across all 11 classes. …”
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Efficient high-order hidden Markov modelling by Du Preez, Johan Adam

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Neural networks in control engineering by Trossbach, W

“…However, despite its superior modelling capability, the tests performed using the Williams and Zipser training algorithm show that such structures often fail to converge and require excessive computing power and time, when increased in size. …”
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Applications of Gaussian Process Regression to the Pricing and Hedging of Exotic Derivatives by Muchabaiwa, Tinotenda Munashe

“…GPR is a supervised machine learning technique which makes use of a training set to train an algorithm so that it makes predictions. …”
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Convolutional Neural Networks for Robust Fynbos Leaf Classification: Enabling Trustworthy Machine Learning in Botanical Science by Govender, Jarushen

“…This version of FLORA intends to make use of a Convolutional Neural Network trained on a dataset of collected leaf images, to correctly classify species of Fynbos using natural images as training data. …”
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The use of automated integrated management of childhood illness guidelines in primary health care in the Western Cape in South Africa by Rhode, Hilary Wallis Juliana

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An investigation into the dynamic implementation of a 16-electrode FDM Electrical Impedance Tomography System by Goldswain, Gareth

“…Boundary measurements simulated using the Finite Element Method (with added Gaussian noise), produce a more representative training database than the empirical training methods used previously. 4. …”
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Data-driven augmentation of pronunciation dictionaries by Loots, Linsen

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Developing a data mining classification model to predict the academic performance of students in Public Basic Schools in Ghana using socio-economic variables. a case study of sel... by Sarpong, Alexander

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