Malicious user attacks in decentralised cognitive radio networks

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Direction finding of long term evolution enabled handsets for monitoring applications

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Methods that improve high frequency Single Flux Quantum electronics design by Le Roux, Paul

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

“…Estimation techniques using postcranial elements in SA almost exclusively utilise discriminant analysis to evaluate sex, but international publications have shown success using alternative machine learning (ML) algorithms. …”
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Investigation on the efficient frontier based on CVaR under copula dependence structure with applications to South African JSE stocks by Damaseb, W B

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AN EFFICIENT INTERFERENCE AVOIDANCE SCHEME FOR DEVICE-TODEVICE ENABLED FIFTH GENERATION NARROWBAND INTERNET OF THINGS NETWOKS’ by unknown

“…Second, a bisection search approach is used to find the best power control that maximizes the network sum rate, and third, the Hungarian algorithm is used to build a maximum bipartite matching strategy to choose the optimal pairing pattern between the sets of NUEs and the D2D pairs. …”
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Robust electronic circuit design using evolutionary and Taguchi methods by Owadally, Muhammud Asaad

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Fine-grain transformations for refactoring

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Dataset selection for aggregate model implementation in predictive data mining

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Developing a data mining classification model to predict the academic performance of students in Public Basic Schools in Ghana using socio-economic variables. a case study of sel... by Sarpong, Alexander

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Wind plant annual energy production maximisation and efficiency improvement with considerations for thrust and turbulence intensity by Charles, Mfon Okokon

“…To exploit this feature, this study proposes and implements an axial induction-based cooperative power maximisation for annual energy production (AEP) maximisation in a hexagonally deployed multi-directional wind site with space restrictions, using particle swarm optimization (PSO) and genetic algorithm (GA). Initial results confirm a significant increase in wind plant power and AEP, accompanied by increase in turbine-level turbulence intensity, thrust coefficient, and thrust as consequences imposed by the unconstrained optimisation-enhanced power increments. …”
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Multi-objective optimisation of water distribution systems design using metaheuristics by Raad, Darian Nicholas

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Noncooperative Game-Theoretic Planning for Autonomous Driving under Imperfect Information: A Quasi-Perfect Equilibrium Approach by Mogahed, Ahmed

“…The framework’s path planner generates equilibrium waypoints by formulating the problem in sequence form as a linear complementarity problem and solving it via Lemke’s algorithm. Then, a path manager generates geometrically optimal trajectories respecting the vehicle's minimum turning radius using Dubins path optimization. …”
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Introduction to fast Super-Paramagnetic Clustering by Yelibi, Lionel

“…We map stock market interactions to spin models to recover their hierarchical structure using a simulated annealing based Super-Paramagnetic Clustering (SPC) algorithm. This is directly compared to a modified implementation of a maximum likelihood approach to fast-Super-Paramagnetic Clustering (f-SPC). …”
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Adaptive and autonomous protocol for spectrum identification and coordination in ad hoc cognitive radio network by Ohize, Henry Ohiani

“…Simulation results revealed ACS as a feasible solution for optimal dynamic control channel selection. Finally, a new channel hopping algorithm for the selection of a control channel in CRAHN was presented. …”
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Specific applications of satelite remote sensing to the Benguela ecosystem by Weeks, Scarla Jeanne

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

“…Two hundred basic particles were used per partition, with an additional one hundred augmented particles per partition, for the scan phase. The algorithm does not run in real-time, although with optimization this is a possibility.…”
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Optimisation of complex simulation models by Bezuidenhoudt,Cecile Margaret

“…Computer simulation models are widely and frequently used to model real systems to predict output responses under specified input conditions. Choosing optimal simulation parameters leads to improved operation of the model but it is still a challenge as to how to go about optimally selecting these parameter values. …”
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