A model-based deep learning approach to spectrum management in distributed cognitive radio networks

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Peer-to-peer biometric verification using nfc-enabled smartphones

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Concept demonstrator for a decision support tool for agricultural applications by Van Rooyen, J. C.

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Efficient radio resource management for the fifth generation slice networks by Oladejo, Sunday Oladayo

“…It is observed that GI-LARE scheme outperforms the static slicing (SS) and an optimal resource allocation (ORA) schemes. Moreover, the GI-LARE appears to be near optimal when compared with an exact solution based on spatial branch and bound. …”
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Digital soil mapping techniques across multiple landscape scales in South Africa by Trevan, Flynn

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Single queue priority scheduler for video transmission in IEEE 802.11 networks by Adeleke, Joshua Adejare

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Analysis of the effect of course structure and pattern of usage on the efficacy of online/blended courses by Oosthuizen, Andries Cornelius

“…The clValid package method was used to choose the optimal algorithm and cluster sizes. The findings show that most sites used the default tool selection, with almost half the courses adding outside tools and linking in lecture recordings. …”
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Metamaterial antennas for cognitive radio applications by Raslan, Ahmed Rajaie

“…A model is proposed to explain, through simple numerical simulations and an optimization algorithm, the behavior of these component loaded antennas (which are equivalent to metamaterial inspired electrically small antennas).…”
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Valuing American Asian Options with Least Squares Monte Carlo and Low Discrepancy Sequences

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Parallelising inference on cluster graphs by Verburgh, Cornel

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Novel motion capture methods for sports analysis : case studies of cycling and rugby goal kicking by Cockroft, Stephen John

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Analytical modelling and design optimisation of the Eddy Current Slip Coupler by Erasmus, Abraham Stephanus

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Autonomous airborne refueling : relative state estimation by Runhaar, Anton Johan

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Using machine learning to predict the risk severity of late effects o f childhood cancer survivors by Nortje, Lene

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Low-rank completion and recovery of correlation matrices by Ramlall, Chetan K

“…In almost all instances, the method of convex relaxation performed better than spectral methods and achieved the closest and best-fitted low-rank approximations to the true, optimal low-rank matrices (for some rank-n). Furthermore, a dependence was found to exist on which correlation pairs were used as inputs, with the accuracy of the approximations being, in general, directly proportional to the number of input correlations provided to the algorithms.…”
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Antenna axis offset and intersection determination using GPS by Combrinck, Willem Ludwig

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Disaggregating employment data to building level : a multi-objective optimisation approach

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

“…Methods used in the analysis of dam monitoring data include data-driven models, physical-based models and hybrid models. Data-driven models utilise environmental variables as independent factors and dam responses as dependent factors. …”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…We implement a reinforcement algorithm to randomly explore new routes and discover the most optimal path through the Q-learning algorithm. …”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…We implement a reinforcement algorithm to randomly explore new routes and discover the most optimal path through the Q-learning algorithm. …”
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