Predictive Maintenance: Leveraging Hybrid LSTM-CNN Architectures for Enhanced Performance by El Sadeek, Kamal Mohamed

“…However, validation loss began diverging from training loss early in training, indicating overfitting and instability. …”
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Dental implant recognition by Kohlakala, Aviwe

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Sensitivity analysis of multilayer neural networks by Engelbrecht, Andries Petrus

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A comparative study of recurrent neural networks and statistical techniques for forecasting the stock prices of JSE-listed securities by Galant, Rushin

“…This is likely the result of the unforeseen impact of the covid-19 pandemic on financial markets that would not have been factored into the training sets of the machine learning algorithms. . . .…”
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Small-scale distributed machine learning in R by Taylor, Brenden

“…Machine learning models generally require large amounts of data to train and thus are computationally expensive, both in the absolute sense of actual compute time, and in the relative sense of the numerical complexity of the underlying calculations. …”
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Analysis of catastrophic interference with application to spline neural architectures

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Deep learning for supernovae detection by Amar, Gilad

“…This thesis explores the potential of using state-of-the-art machine learning algorithms to handle this burden more accurately and quickly than trained astronomers. …”
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Model Calibration with Machine Learning by Haussamer, Nicolai Haussamer

“…It provides an introduction to the mathematics of basic neural networks and training algorithms. Two simplified experiments based on the Black-Scholes and constant elasticity of variance models are used to demonstrate the potential usefulness of neural networks in calibration. …”
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Face recognition with partial occlusions using weighing and image segmentation

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Developing a tool for project contingency estimation in Eskom Distribution Western Cape Operating Unit by Van Niekerk, Mariette

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Impeller fault detection under fluctuating flow conditions using artificial neural networks

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Classification of Selected Cardiac Abnormalities through Machine Learning. by Murugan, Kalavaani

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Transient stability assessment of hybrid distributed generation using computational intelligence approaches by Olulope, Paul Kehinde

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Facial recognition, eigenfaces and synthetic discriminant functions by Muller, Neil

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Parents' perspectives and performance evaluation of facial analysis technologies for the diagnosis of congenital disorders

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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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A deep learning approach towards diagnostics of bearings operating under non-stationary conditions

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