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APIC: A method for automated pattern identification and classification
Published 2018“…While concepts such as Deep Learning have existed for many years, the computational power for realising the utility of these algorithms in real-world applications has only recently become available. …”
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Automated brick sculpture construction
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Development of a Low-Cost System for Monitoring Root Growth Dynamics
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Stochastic visual tracking with active appearance models
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Machine learning approach to slice admission control in 5G wireless network
Published 2026“…Furthermore, automated and intelligent networking approaches can be employed to enhance SAC and optimize key objectives such as revenue, fairness, scheduling efficiency, and network resilience. …”
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Bayesian analysis of historical functional linear models with application to air pollution forecasting
Published 2023“…The efficiency of the MCMC algorithms is increased by implementing a Cholesky decomposition to sample from high-dimensional Gaussian distributions and by taking advantage of the orthogonal properties of the functional principal components used to model the functional covariates. …”
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Modelling, estimation and control of a twin-helicopter slung load transportation system
Published 2019“…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
Published 2021“…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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Endemism and richness in the Cape floristic region: phytogeographic patterns and environmental correlates in a global biodiversity hotspot
Published 2016“…The five analytical methods used to determine candidate PCs were evaluated for performance optimality. Bell Shaped Curve Weighting using UPGMA proved marginally more optimal than the other four methods, but differences between various weighting and clustering algorithms were less than anticipated. …”
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Simplified approaches for portfolio decision analysis
Published 2022“…These are generally computationally-intensive algorithms that require substantial amounts of information from the decision maker, and in return yield portfolios that are provably optimal or optimal within certain bounds. …”
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Dual sequential approximation methods in structural optimisation
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Relative orientation with limited control in close range Photogrammetry
Published 2016“…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
Published 2024“…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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Regional CO₂ flux estimates for South Africa through inverse modelling
Published 2019“…Sensitivity analyses considered changes to the covariance matrix and spatial scale of the inversion, as well as different optimisation algorithms, to assess the impact of these specifications on the optimal network solution. …”
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Concept demonstrator for a decision support tool for agricultural applications
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Improved decoder metrics for DS-CDMA in practical 3G systems
Published 2016“…MUDs, however, suffer from high complexity, including most of sub-optimal algorithms. Hence, most commercial implementations still use conventional single-user matched filter detectors. …”
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Project Leanness Score: A Machine Learning Approach
Published 2022“…Lean construction is a philosophy, backed with principles and tools, aiming at maximizing value, eliminating waste, optimizing efficiency, and seeking continuous improvement. …”
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The role of warfarin pharmacogenomics on the time it takes to reach stable therapeutic International Normalized Ratio (INR) and on warfarin dose required to maintain stable therape...
Published 2020“…However, none of these studies have involved populations from sub-Saharan Africa where the potential benefit of optimal dosing and reduced complications is greatest. …”
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