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A Proper Orthogonal Decomposition-based inverse material parameter optimization method with applications to cardiac mechanics
Published 2017“…This enables more sophisticated simulation tools that allows for greater insight into disease and guide the development of modern therapies. …”
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Characterization of the high temperature caustic conditioning process for optimized gold recovery from double refractory ores
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A source-destination based dynamic pricing scheme to optimize resource utilization in heterogeneous wireless networks
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Optimal energy-efficiency retrofit and maintenance planning for existing buildings considering green building policy compliance
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The construction of optimal socially responsible investment portfolios in South Africa using traditional and artificial intelligence techniques
Published 2025“…This study evaluates six portfolio construction methods for SRI portfolios in South Africa, including traditional (mean variance, naïve and risk parity) and AI (particle swarm optimization, simulated annealing and genetic algorithm) methods. …”
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Parametric modelling of wavy-finned flattened tube performance for application in air-cooled heat exchanger optimization
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Fast Mesh-based physical optics for large-scale electromagnetic analysis
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Personal Income Tax reform to secure the South African revenue base using a micro-simulation tax model
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The optimisation of mm-Wave GaAs Gunn diodes using a parallel implementation of the Monte Carlo particle simulation technique
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Optimal placement and effect of a wind farm on load flow and protection systems in a municipal distribution network
Published 2020“…However, it is seen that the municipal network is not optimally graded in the base case. Finally, it is also seen that, though not often used in research, the MATPOWER package works well as a network simulation tool. …”
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Optimal energy management for a grid-tied solar PV-battery microgrid: A reinforcement learning approach
Published 2023“…The performance of the proposed method is evaluated with differently fluctuating load profiles, i.e., slow, medium, and fast. Simulation results substantiated the efficacy of the proposed method as the algorithm was established to learn from experience to raise the battery state of charge and optimally shift loads from a one-time instance, thus supporting the utility grid in reducing aggregate peak load. …”
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Optimal design methodology of a three phase Rotary transformer for a brushless doubly fed induction generator
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A study on certain factors that may affect the production and feed intake of breeding ostriches
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Simulation of field emission from carbon nanotubes using time-dependent density functional theory and the effect of nitrogen and boron doping
Published 2011“…We investigated the mechanism of electron field emission in prestine short carbon nanotubes using ab-initio computation in isolated and periodic simulation cells. We computed the evolution of the wave functions using Time-Dependent Density Functional Theory, where we have utilized the Crank-Nicholson propagator. …”
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The impact of ozone demand on the required dosage in dielectric barrier discharge plasma-ozonation systems : investigation into a simulated surface water
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Determining the optimal log position during primary breakdown using internal wood scanning techniques and meta-heuristic algorithms
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Pallet routing strategies for a reconfigurable conveyor.
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