A framework for evaluating clinical data using graph-based link prediction by Parshotam, Himil

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Decision tree classifiers for incident call data sets by Igboamalu, Frank Nonso

“…In the case study used for this work, there are no management checks in place to verify the assigning of incident description subjects. This research aims to develop a method that will tackle the problem of wrongly assigned subjects for incident descriptions. …”
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Gaussian Process Regression for Option Pricing and Hedging by Patel, Ishani

“…Recent literature in the field of quantitative finance has employed machine learning methods to speed up typical numerical calculations including derivative pricing, fitting Greek profiles, constructing volatility surfaces and modelling counterparty credit risk, to name a few. This dissertation aims to investigate the accuracy and efficiency of Gaussian process regression (GPR) compared to traditional quantitative pricing algorithms. …”
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ABS braking on rough terrain

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Applying the cross-entropy method in multi-objective optimisation of dynamic stochastic systems by Bekker, James

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Resource Management and Backhaul Routing in Millimeter-Wave IAB Networks Using Deep Reinforcement Learning

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Robust and cheating-resilient power auctioning on Resource Constrained Smart Micro-Grids by Marufu, Mufudzi Anesu Chapman

“…Overall, the main aim of our study is achieved by designing a resilient and cheating-free CDA algorithm that is scalable and performs well on resource constrained micro-grids. …”
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The development of a hardware-in-the-loop platform for the attitude determination and control testing of a small satellite by Junaid, Muhammad

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RF-EMF Radiation Exposure and Radio Resources Management in 5G Wireless Network by Ajibare, Adedotun Temitope

“…Therefore, this research aims to assess the impacts of these challenges, develop and evaluate efficient radio resources management schemes and algorithms. …”
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Sparse graph codes on a multi-dimensional WCDMA platform

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Comparison of Sampling Methods for Kriging Models

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Driver traffic violation detection and driver risk calculation through real-time image processing

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Machine learning for antenna array failure analysis by De Lange, Lydia

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Real-time stereo reconstruction using hierarchical dynamic programming and LULU filtering by Singels, Francois

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Applying Edward Herman and Noam Chomsky’s Propaganda model to the Digital Media Landscape : An Analysis of Cambridge Analytica’s involvement in the United States 2016 Presidentia...

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Nudging Users Towards Data Privacy by Hanafy, Ossama

“…Technology companies collect massive amounts of data from online users. They use algorithms that can track and analyze each activity by each user. …”
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State estimation of a cheetah spine and tail using an inertial sensor network by Fisher, Callen

“…A wireless sensor network was built and three different filters and state estimation algorithms were designed and validated with a mechanical rig and camera system. …”
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Implementation of fast airborne synthetic aperture radar simulation by Kao, Hui-Shun

“…Since nowadays the modem aircraft may be fitted with SAR facility, the aim of this dissertation is to develop fast algorithms for a fast or real-time like SAR simulator which could aid in airplane pilot training. …”
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Using multiple view geometry for transmission tower reconstruction by Morarjee, Bhavani

“…Therefore, this study aims to provide a 3D context in the form of a reconstructed transmission pylon that arises from image data. …”
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Active Inference in Multi-Objective Dynamic Environments by Hodson, Rowan

“…However, due to the relative recency of the theory, there are still many areas of comparison and evaluation to explore. This dissertation aims to investigate Active Inference's algorithmic capacity to solve more complex decision-based environments. …”
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