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Modelling of mass transfer operations with artificial neural networks
Published 2012Get full text
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Simulation-based optimisation of public transport networks
Published 2020“…Automated Fare Collection (AFC) data from the MyCiTi BRT was used to create this plan. Lastly, the NSGA-II is used to search for an efficient set of network solutions, also known as a Pareto set or a non-dominated set in the context of Multi-objective Optimisation (MOO). …”
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Evaluation of vision-based robot control configurations for reconfigurable assembly
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Parallel Monte-Carlo tree search in distributed environments
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Evaluating a human-machine student intervention framework in higher education from legacy data
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Sensitivity analysis of multilayer neural networks
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A Computational Study of CoCrFeNiTi High Entropy Alloys: Phase Diagrams, Thermodynamics, and Mechanical Properties from CALPHAD and First Principles
Published 2021“…High entropy alloys (HEAs) are multi-component alloys, which are often defined as those consisting of at least 5 principal elements with concentrations ranging between 5 and 35 atomic weight percent (at.%). …”
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A structured approach to network security protocol implementation
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EFFECTS OF THE USE OF ELECTRONIC CALCULATOR ON OUTCOMES OF MATHEMATICS INSTRUCTION
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Genetic dating and pattern of admixture in modern human evolution
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Multivariable controller design using pareto front
Published 2015“…Both are multivariable controllers though one has a diagonal structure while the other has a triangular structure. Multi-objective optimization with a posteriori decision-making based on Pareto efficiency, level diagrams, hyper volumes and other performance indices is used to compare quantitatively the two controller structures when applied to a highly interactive multivariable system based on this plant.…”
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Bi-objective generator maintenance scheduling for a national power utility
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Data security in cloud storage services
Published 2014“…Cloud Computing is considered to be the next-generation architecture for ICT where it moves the application software and databases to the centralized large data centers. …”
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The engineering of emergence in complex adaptive systems
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Risk–constrained stochastic economic dispatch and demand response with maximal renewable penetration under renewable obligation
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Developing a generic request-processor for systems with limited request processing resources
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The faint low-frequency radio universe in continuum: exploitation of the pre-SKA deepest survey
Published 2021“…However, they are generally consistent with recent models of the low-frequency source population. Using ancillary multi-wavelength data in the field, I investigate the key issue of source population classification using the deepest data at an intermediate-low frequency (higher than LOFAR and lower than JVLA), where previous work has not been sensitive enough to reach the µJy population. …”
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