Development of a decision-support tool for implementing circular value creation structures using machine learning and a digital ecosystem by Walter, Selina

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A critical evaluation of a community based mother-infant intervention project with special emphasis on infant attachment by Tomlinson, Mark

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From high-speed superconducting devices to nanosensors by Perold, Willem

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Molecular genetic analyses of antipsychotic pharmacogenes in a South African first episode schizophrenia cohort by Higgins, Faatiemah

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Molecular genetic analyses of antipsychotic pharmacogenes in a South African first episode schizophrenia cohort by Higgins, Faatiemah

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Heuristic and metaheuristic approaches to the multi-period vehicle routing problem with time windows and rolling planning horizon by Harmse, Greg

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Some MIMO applications in cognitive radio networks by Salib, Feeby Magdy Girgis

“…In cognitive radio networks, the radio spectrum resources utilization is improved by allowing unlicensed users, known as secondary users, to share the spectrum with licensed users, known as primary users, as long as this sharing do not induce harmful interference on the primary users, which completely entitled to utilize the spectrum. …”
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Digital Replica for Trustworthy Cooperative Autonomous Vehicles by Farahat, Hady

“…A customized DReyeVR simulator was utilized to develop a digital replica, which enables the simultaneous mimicking of vehicle behavior, algorithms, and user interface within a VR setup. …”
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Computational biomechanics of acute myocardial infarction and its treatment by Sirry, Mazin Salaheldin

“…The biaxial mechanical data were utilized to establish material constitutive models of rat healing infarcts. …”
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Multiscale spatial modeling with applications in image analysis

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Modelling, estimation and control of a twin-helicopter slung load transportation system by Reddi, Yashren

“…A high-fidelity mathematical model of a small-scale helicopter was developed. Estimation algorithms were then developed to optimally fuse the data from the instrumentation designed. …”
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Changes in rainfall seasonality in the Western Cape, South Africa: an exploration of methods for determining the start and end of the rainfall season by Ivey, Peter

“…Weather stations with similar seasonal patterns are firstly grouped together using certain clustering algorithms. The start and end of the rainfall season dates for the different groups of weather stations are estimated and then compared over time to determine whether there have been any changes. …”
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Optimising the Optimiser: Meta NeuroEvolution for Artificial Intelligence Problems by Hayes, Max Nieuwoudt

“…The purpose of this work is to explore the effectiveness of Bayesian Optimisation as a hyperparameter tuning algorithm on the reinforcement learning algorithm NEAT's hyperparemters. …”
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A systematic approach to model predictive controller constraint handling : rigorous geometric methods

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A highly accessible application for detection and classification of maize foliar diseases from leaf images by Khethisa, Joang Adolf

“…A number of previous studies, utilizing computer vision and machine-learning algorithms, have successfully developed applications that can diagnose crop diseases. …”
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Relative orientation with limited control in close range Photogrammetry by Rüther, Heinz

“…Throughout the thesis algorithms are developed which make it possible to execute all computations on computers with limited memory capacity. …”
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Hydraulic Data Preprocessing for Anomaly Based Intrusion Detection on SCADA Level of Water Treatment Systems by Mboweni, Ignitious

“…The best performance was achieved when the preprocessed dataset was randomly split into training and testing, yielding a significant improvement in accuracy, F1 score and time to detection for both algorithms used in the study, namely Fine Tree and Boosted Trees Ensemble.…”
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The use of artificial intelligence for business optimisation in banking: case of Nigeria by Akobe, David

“…AI technologies such as the Sentiment intensity analyser, LR, K-means algorithm, Naïve Bayes algorithm, K-nearest neighbour, and Recommendation engines, were used for various tasks. …”
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Ubiquitous mesh networking : application to mobile communication and information dissemination in a rural context by Maliwatu, Richard

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Machine learning approach to slice admission control in 5G wireless network by Ojijo, Mourice

“…By increasing the probability of admission during periods of resource availability, the findings demonstrate that the reinforcement learning agent improves long-term utility and fairness by 68.2%. Finally, this thesis proposes a novel sequential twin-actor critic (STAC) method that optimizes a two-stage action process—namely, slice admission control (SAC) and resilience maintenance—by adjusting network resource blocks (RBs) to maximize overall utility. …”
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