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Integration of ranking and selection methods with the multi-objective optimisation cross-entropy method
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New multi-objective ranking and selection procedures for discrete stochastic simulation problems
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3D position estimation of sports players through multi-view tracking
Published 2010Get full text
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Steel fibre-reinforced concrete: multi-scale characterisation towards numerical modelling
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Computer-based learning for the enhancement of breastfeeding training for South African undergraduate dietetic students
Published 2008Get full text
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Methods of enhancing the MOO CEM algorithm
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Evaluating Different Multi-Criteria Decision Methods for the Comparison and Investigation of Public Transport Projects
Published 2023“…In South Africa, the Cost-Benefit Analysis (CBA) is often used to evaluate public transport projects, whereas, in this research, Multi-Criteria Decision Analysis (MCDA) methods were investigated and used. …”
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Effectiveness of computer-based instructional technologies in an African university: policy implications for university education in Nigeria
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DSSS Communication Link Employing Complex Spreading Sequences
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Investigating the multifaceted host contribution to COVID-19 disease risk, progression and treatment: an integrative multi-omics network-based approach study
Published 2026“…We used an adapted random walk with restart algorithm, called multiXrank, to explore the disease-state and omics-specific graphs, and drug data to search for and prioritize not only biosignatures associated with COVID-19 disease phases but also drug candidates with the potential for treating mild, moderate, and severe COVID-19. …”
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Towards a framework for multi class statistical modelling of shape, intensity, and kinematics in medical images
Published 2021“…Future work will aim to optimise the framework for clinical use in medical image analysis.…”
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Towards a framework for multi class statistical modelling of shape, intensity and kinematics in medical images
Published 2022“…Future work will aim to optimise the framework for clinical use in medical image analysis.…”
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A domain specific language for facilitating automatic parallelization and placement of SDR patterns into heterogeneous computing architectures
Published 2018“…From this review process, it was discovered that, while HCAs are used to accelerate many SDR computations, there is a shortage of intuitive parallel programming frameworks that efficiently utilize the HCAs' computing resources for achieving adequate performance for SDR applications. …”
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Traditional Image Processing and Modern Computer Vision Techniques for the Study of Two-Phase CO2 Flow
Published 2023“…The second approach makes use of modern computer vision techniques, where the image features are automatically learnt through machine learning, and an end-to-end network design makes use of these features to extract the desired output without manual tuning. …”
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Experimental and numerical modelling investigations of the response of a two-phase natural circulation multi-parallel channel system
Published 2015Get full text
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