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An investigation into higher and partial moment portfolio selection frameworks
Published 2020“…It solves the endogeneity issue present in the co-semivariance matrices, through the usage of a direct multi-search algorithm. The two frameworks were tested across multiple datasets, including one of pure stocks and one of asset classes, to test the ability to both allocate assets and select stocks. …”
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Nonlinear heat transfer and thermo mechanical stress analysis using finite elements.
Published 2014“…Four, eight and nine noded isoparametric continuum finite elements with the option of the plane stress, plane strain and axisymetric cases are utilized. Nonlinear heat transfer due to temperature dependent thermal conductivity and/or internal heat generation is solved using an iterative method based on the Newton-Raphson algorithm. …”
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Niching strategies for particle swarm optimization
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Sensitivity analysis of multilayer neural networks
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Load models for technical, economic and tariff analysis of medium voltage feeders
Published 2022“…The load models proposed here uses the k-means clustering algorithm as the basis for classification. The load models enable the classification of loads and assignment of load profiles accordingly. …”
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Mesoscale Wind Atlas of South Africa
Published 2014“…This thesis explores the utility of the MM5 regional climate model iii product big a detailed wind climatology for South Africa in the context of wind power applications. …”
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Mesoscale wind atlas of South Africa
Published 2014“…This thesis explores the utility of the MM5 regional climate model iii product big a detailed wind climatology for South Africa in the context of wind power applications. …”
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Optimal placement and power allocation for jammers in wireless mesh networks
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Dental implant recognition
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Low bit rate speech coding
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Radar-Based Multi-Target Classification Using Deep Learning
Published 2023“…To achieve these objectives, radar data was collected using a C-band pulse-Doppler radar and converted to spectrograms using the Short-time Fourier transform (STFT) algorithm. Spectrograms of the following classes were utilised in classification: one human walking, two humans walking, one human running, moving vehicles, a swinging sphere and clutter/noise. …”
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Image-Based Models for Left Heart Flow Morphodynamics in Hypertrophic Obstructive Cardiomyopathy
Published 2025“…This has been achieved by employing a velocity mapping algorithm along with integrating 4D-CT-derived wall motion information, resulting in a significant reduction in analysis time. …”
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A Novel Design-for-Test flow using LibreLane
Published 2026“…It investigates various strategies for ordering of a scan chain, comparing the current approaches of ordering a netlist, or a greedy closest-first algorithm, to the decades of work on optimizing the traveling salesman problem. …”
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Volatility Model Pricing and Calibration with Neural Networks using Bayesian Optimisation
Published 2023“…Bayesian Optimisation algorithms are implemented to select models with the lowest loss metric for SABR and Heston volatility models. …”
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Generating new data points using singular value decomposition
Published 2025“…The method involves utilising SVD to generate new data, mimicking a predictive modelling formula by combining systematic and error components. …”
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Research and development to produce a first generation running power measurement device
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Project Leanness Score: A Machine Learning Approach
Published 2022“…The construction industry is known to have several inadequacies in resource utilization leading to cost and schedule overruns. One of the popular recent methods that attempts to eliminate these inadequacies is lean construction principles, techniques and tools. …”
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Control of CO2 vibrational dynamics via shaped-pulse coherent anti-Stokes Raman spectroscopy
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A Bayesian extreme value approach to the optimal reinsurance problem in a multivariate risk setting
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Design of an aerodynamic attitude control system for a CubeSat
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