Translation and rotational motion compensation techniques for Inverse Synthetic Aperture Radar (ISAR) Imaging of sea vessels by Ebrahim, Azhar

“…Selecting a combination of the best algorithms formed the ITWSP. The alignment algorithm using sub-integer shift range alignment showed better contrast values and overall image quality compared to the integer shift range alignment algorithm, making it the clear choice for processing. …”
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Kalman Filtering and its Application to On-Line State Estimation of a Once-Through Boiler by Patel, Zubeida

“…The second part of this thesis uses these algorithms to demonstrate the feasibility of on-line state estimation on the main components of a once-through utility power boiler that require in excess of a hundred state variables to capture its behaviour with adequate fidelity. …”
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Methods that improve high frequency Single Flux Quantum electronics design by Le Roux, Paul

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Direction finding of long term evolution enabled handsets for monitoring applications

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Mathematical optimisation of the suspension system of an off-road vehicle for ride comfort and handling

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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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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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The development of satellite derived nitrate and stratification indices for the southern Benguela ecosystem by Khumalo, Madoda Brian

“…There were however two concerns that needed further consideration in the approach: 1).The large warm bias discovered between the in situ and remotely sensed temperatures which had a direct influence on the validity of the algorithms in the ecosystem and 2.) The temporal and spatial disconnects between the physical forcing and biological response of the ecosystem and subsequent impact upon the utility of the remotely sensed proxies.…”
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Robust electronic circuit design using evolutionary and Taguchi methods by Owadally, Muhammud Asaad

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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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The preservation of the Cape flora : status, causes of rarity, ideals and priorities by Rebelo, Anthony G

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

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An RFI simulation pipeline to help teach interferometry and machine learning by Agbetsiafa, Insight Enya Aku

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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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