The use of a neural network to recognize placental insufficiency from blood flow velocity waveforms in the umbilical cord by Alhamud, Alkathafi Ali

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Using Machine Learning and the Water Evaluation and Planning model to Evaluate Climate Change Impacts on Surface Water Allocation in the Upper Awash Sub-Basin, Ethiopia by Hirko, Deme Betele

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Adaptive control of alumina concentration in the hall-heroult cell using neural network by Boadu, Kwaku Debra

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Assessing classification performance for sampled remote sensing data

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Design and Development of an Autoinjector Tracking Device to Integrate with Emergency Service by Maqungu, Qhamani

“…Additionally, the tracking algorithm to be validated with different Android mobile devices.…”
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Designing multimodal public transport networks using metaheuristics

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Nonlinear adaptation of established linear and predictive control laws through safe reinforcement learning by Bras, Edward Hendrik

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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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Using machine learning techniques in developing an autonomous network orchestration scheme in 5g networks by Mohamad, Anfar Mohamad Rimas

“…After that, application-based features were extracted by using heuristic logical filters to prepare a feature vector for the Machine Learning (ML) algorithm. A trained Multi-layer Perceptron (MLP) based Artificial Neural Network (ANN) was selected as the classifier after comparing results with Support Vector Machine (SVM), Recurrent Neural Network (RNN) and Convolutional Neural Network (CNN). …”
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Markerless vision-based localisation for autonomous inspection drones. by Nel, Gert

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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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Adaboost and its application using classification trees

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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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Investigating the use of ray tracing for signal-level radar simulation in space monitoring applications: a comparison of radio propagation models by Martin, Mogamat Yaaseen

“…This utilises a ray-tracing algorithm to simulate the effects of debris size, shape, orientation, and material properties when computing radar signals in a typical simulation. …”
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Automated elephant detection and classification from aerial infrared and colour images using deep learning by Marais, Jacques Charles

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Phonene-based topic spotting on the switchboard corpus by Theunissen, M. W. (Marthinus Wilhelmus)

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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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Counting animals in ecological images by Pillay, Nakkita

“…This research applies a blob detection algorithm primarily based on the determinant of the Hessian matrix to estimate counts of animals in aerial images of colonies in a user-friendly web application and trains an object detection model using deep convolutional neural networks to automatically identify and count penguin prey in 2053 images extracted from animal-borne videos. …”
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