Classification and visualisation of text documents using networks by Phaweni, Thembani

“…We also applied three machine learning algorithms, naïve Bayes, neural networks and support vector machines. …”
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Scaling multi-agent reinforcement learning to eleven aside simulated robot soccer by Smit, Andries

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Reconstruction of three-dimensional facial geometric features related to fetal alcohol syndrome using adult surrogates by Atuhaire, Felix

“…The 3D face scans in the training set were landmarked by different observers. …”
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Transient stability assessment of hybrid distributed generation using computational intelligence approaches by Olulope, Paul Kehinde

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Degradation estimation of high energy steam piping using hybrid recurrent neural networks

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Automated Variational Ansatz Design by Lourens, Matthys Johannes

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Optimization of a low speed wind turbine using support vector regression by Wise, John Nathaniel

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Admission Control in Sliced Networks, with Predictive Analytics by Ngufor, Perose

“…We design and evaluate two intra-slice admission control algorithms namely, the Decision Matrix algorithm and the Utility Index algorithm. …”
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Multiple radar environment emission deinterleaving and PRI prediction by Manickchand, Kaveer

“…The interleaved pulse train spectrum estimation algorithm results could not be replicated and were not included in simulations. …”
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Improving region based CNN object detector using bayesian optimization by Muhammad, Amgad

“…In my work, I'm developing a sequential searching algorithm based on Bayesian Optimization to propose better candidate bounding boxes for the objects of interest. …”
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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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Classification of Selected Cardiac Abnormalities through Machine Learning. by Murugan, Kalavaani

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Machine and component residual life estimation through the application of neural networks

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Partitioned particle filtering for target tracking in video sequences by Louw, Markus Smuts

“…[page 9-12,17,18 are missing] A partitioned particle filtering algorithm is developed to track moving targets exhibiting complex interaction in a static environment, in a video sequence. …”
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Online prognostic strategies with deep leaning models for fleets of engineering assets

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Feature detection in ultrasound images for computer aided diagnosis of Hodgkin's Lymphoma by Dawood, Tareen

“…Thereafter, an automated algorithm was used to characterise and classify Hodgkin's lymphoma. …”
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A model-based deep learning approach to spectrum management in distributed cognitive radio networks

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Link prediction in knowledge graphs using latent feature modelling and neural tensor factorisation by Magangane, Luyolo

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