The productive use of free time : the utilisation of deterministic maintenance opportunity windows due to excess capacity in large coupled production lines with finite buffers by Durandt, Casper

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Development of a dynamic path planning system for autonomous mobile robots in a flexible manufacturing system by Fourie, Bradley

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Exploring the ethereum dataset with the aim of price trend prediction using the recurrent neutral network, LSTM, gated recurrent unit and an ensemble algorithm in combination with... by Van Wyk, Chad

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Process-based decomposition and multicore performance : case studies from Stringology

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Robust sampling-based conflict resolution for commercial aircraft in airport environments by Van den Aardweg, William

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Modelling and simulation framework incorporating redundancy and failure probabilities for evaluation of a modular automated main distribution frame

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Enhanced method of moments performance through efficient implementation and error estimation by Cilliers, Pierre

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Spatiotemporal Performance Analysis to Identify Degradation Trends in a Utility-Scale PV Plant by Bekker, Neil Francois

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Reinforcement learning microservices scheduler in intelligent edge computing

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Structural performance evaluation of concrete arch dams using ambient vibration monitoring and GNNS systems by Bukenya, Patrick

“…The ability of the different covariance functions in Gaussian process regression models, to predict natural frequencies and dam deformations, was studied. The performance of Gaussian process regression models was compared with other machine learning algorithms (BRT, SVR and ANN), multivariate adaptive regression splines and the commonly used MLR models in the prediction of natural frequencies and deformations. …”
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Multi-objective optimisation using the cross-entropy method in CO gas management at a South African ilmenite smelter by Stadler, Johan George

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Ant-inspired strategies for opportunistic load balancing in the distributed computation of solutions to embarrassingly parallel problems

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Implementation of clustering techniques for segmentation of Mozambican cassava suppliers by Matshabaphala, Ntebaleng Sharon

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

“…Prediction-based admission control, when compared to the admission control without predictions, showed better performance in terms of probability of blocking, system utilisation, and profitability to the operator.…”
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Energy-efficient adaptive data rate optimisation scheme for LoRaWAN

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Joint call admission control incorporating pricing for congestion control to enhance QoS and ensure revenue for network operators in next generation wireless networks by Kabahuma, Sarah

“…The performance of the algorithm is evaluated using MATLAB. …”
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Effective visualisation of callgraphs for optimisation of parallel programs: a design study by Mabakane, Mabule Samuel

“…Visualisation tools are used to identify performance bottlenecks of parallel applications in an attempt to optimize the execution of the programs and fully utilise the available computational resources. …”
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Machine learning methods for individual acoustic recognition in a species of field cricket by Dlamini, Gciniwe

“…These results show that individual recognition of the crickets using acoustics can be achieved with great success through the use of machine learning. Moreover, the performance of the deep learning models when trained upon the raw acoustic samples indicate that the feature (MFCC) extraction step can be bypassed; the deep learning machine algorithms can be trained directly on the raw acoustic data and still achieve great results.…”
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Interference Management of Inband Underlay Device-toDevice Communication in 5G Cellular Networks by Boamah, Sharon Ampomaa

“…The channel allocation problem is solved as an assignment problem by using a proposed heuristic channel allocation, random channel allocation, Kuhn-Munkres (KM) and Gale-Shapley (GS) algorithms. A comparative performance evaluation for the algorithms are carried out in the two system model scenarios, and the results indicated that D2D communication with relay assistance outperformed the conventional D2D communication without relay assistance. …”
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Efficient radio resource management in integrated terrestrial and non-terrestrial networks by Birabwa, Denise Joanitah

“…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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