Efficient radio resource management in integrated terrestrial and non-terrestrial networks by Birabwa, Denise Joanitah

“…Simulation results reveal that as the number of users in the network increases, the acquired data rate of the MA3DQN is within 0.48% and 0.42% of that achieved by the GA and ILP, respectively, and outperforms all other algorithms. Notably, the proposed MA3DQN algorithm presents the best running time, attaining a gain of 99.9% over the GA algorithm, which performs the poorest among the algorithms characterised by polynomial worst-case time complexity. …”
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Evolutionary deep learning by Dufourq, Emmanuel

“…One serious challenge when implementing such networks for facial expression recognition is the large number of trainable parameters which results in long training times. We propose a novel method based on evolutionary algorithms, to reduce the number of trainable parameters whilst simultaneously retaining classification performance, and in some cases achieving superior performance. …”
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Sensitivity analysis of multilayer neural networks by Engelbrecht, Andries Petrus

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Using question-specific vocabularies to support speech data collection with SALAAM by Chibuye, Kayokwa Nick

“…Speech-based Accent Learning And Articulation Mapping (SALAAM), a cross-language phoneme mapping algorithm was used to aid the study based on its implementation in an open-source tool Lex4All. …”
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Dental implant recognition by Kohlakala, Aviwe

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

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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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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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Intonation modelling for the Nguni languages

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Artificial neural networks and the cross-section of equity returns: identifying nonlinear opportunities on the Johannesburg Stock Exchange by Reed, Joshua

“…The activation function, training algorithm, learning rate, number of epochs, batch size, and loss function are kept constant across architectures. …”
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Personalized fall detection monitoring system based on user movements

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Ancestry-independent osteometric sex estimation from selected postcranial skeletal elements of South Africans: a machine learning approach by Scott, Michelle

“…The dataset was subjected to ML algorithm training using univariate and multivariate predictor combinations. …”
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Protection-based Distributed Generation Penetration Limits on MV feeders - Using Machine Learning by Nxumalo, Emmanuel

“…A supervised machine learning algorithm is applied after nontrivial data pre-processing through recommendation systems and shuffling. …”
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South African sign language dataset development and translation : a glove-based approach by Mcinnes, Ben

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Artificial neural network decoding of multi-h CPM by Kannemeyer, Johan Etienne

“…Wicker implements the Viterbi Algorithm (VA). All the necessary decoding information is contained in the interconnections of the ANN, and can be found by inspection of the state trellis diagram of the convolutional code. …”
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The design of a hysteroscopy simulator by Kruger, Gerrit V.

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Multiscale image representation in deep learning

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A study of the representational use of aggregates in the pedagogic elaboration of addition and subtraction in the Department of Basic Education Grades 1 to 3 Numeracy workbooks, pr... by Wust, Heidi

“…Core domain computations using aggregates serve as a basis for the growth of noncore mathematical computations and principles, following exposure to number enculturation and the counting algorithm, both of which are enhanced by the growth of linguistic competence. …”
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