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Scale-up and control of a multi-component emulsion polymerization system
Published 2012Get full text
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Exploring next generation packaging systems in a refrigerated container using CFD Modelling
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An efficient three-dimensional database driven approach for multi scale homogenization
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Gaussian process regression approach to pricing multi-asset American options
Published 2022“…In this dissertation, American options are approximated by Bermudan options due to limited computing power. To test the performance of GPR-MC, an American geometric mean basket put option, an American arithmetic mean basket put option and an American maximum call option are priced under the multi-asset Black-Scholes and Heston models, using both GPRMC and LSM. …”
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The Bayesian Approach to Estimation of Multi-Equation Econometric Models in the Presence of Multicollinearity
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Time series forecasting using neural networks without recurrent connections
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Evaluation of the effectiveness of computed tomography in the diagnosis of orbital tumours in ibadan, southwest Nigeria
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Accelerator-based look-up table for coarse-grained molecular dynamics computations
Published 2019“…Both fully-atomistic and coarse-grained developers have accelerated packages using high-performance parallel computing platforms such as multi-core CPU clusters, Field Programmable Gate Arrays (FPGAs) and Graphics Processing Units (GPUs). …”
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Computational fluid dynamic based optimisation of an industrial axial fan for rapid prototyping
Published 2017“…The result is an ElementalTM-based multi-disciplinary software tool, comprising 2D CFD, mesh movement, and constrained geometric optimisation. …”
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Computed tomography of the thorax and abdomen of the clinically normal common marmoset (Callithrix jacchus)
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Coevolution of Neuro-controllers to Train Multi-Agent Teams from Zero Knowledge
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The application of let-through-energy protection in multi-source interconnected utility networks
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The effects of micro data centres for multi-service access nodes on latency and services
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Applying the cross-entropy method in multi-objective optimisation of dynamic stochastic systems
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Multi-Objective Optimization Framework for Generation Expansion Planning Under Transmission Constraints
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Multi-purpose applications of energy storage systems in a power system network
Published 2025“…The proposed method establishes a relationship between frequency nadir, voltage variations, power losses, and the BESS multiplier by utilizing regression analysis techniques in multi-objective mathematical formulations. This approach simplifies and enhances the optimization of the multi-objective functions without relying on weighting factors, which are commonly used in many multi-objective optimizations. …”
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Disaggregating employment data to building level : a multi-objective optimisation approach
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Investigating the performance of time-constrained clustering of multi-modal chemical process data
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