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Efficient radio resource management in integrated terrestrial and non-terrestrial networks
Published 2024“…Simulation results reveal that as the number of users in the network increases, the acquired data rate of the MA3DQN is within 0.48% and 0.42% of that achieved by the GA and ILP, respectively, and outperforms all other algorithms. Notably, the proposed MA3DQN algorithm presents the best running time, attaining a gain of 99.9% over the GA algorithm, which performs the poorest among the algorithms characterised by polynomial worst-case time complexity. …”
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ISO-maps for Non-linear Dimension Reduction - Addressing Geometric and Numerical Issues Observed in Practice
Published 2023“…We test and demonstrate an alternative strategy for approximating distances by relaxing the constraint that the shortest path needs to be found, substituting the condition that any (reasonable) path between points on the graph suffices for purposes of this algorithm. Lastly we demonstrate how the proposed remediations/variations on the algorithm can be used to conduct dimensionality reduction on real-world data sets, and provide some conclusions and possible future reseach topics.…”
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Efficient radio resource management for future generation heterogeneous wireless networks
Published 2018“…Therefore, there is a need to develop efficient radio resource management algorithms that will address the above-mentioned technical challenges. …”
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Flora of the Cape Peninsula : endemism, threatened plants and conservation in perspective
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Efficient energy management in ultra-dense wireless networks
Published 2020“…Finally, the statistical and mathematical results generated through the simulations indicate that the proposed scheme is the closest in NEE performance to the Exhaustive Search algorithm, and hence superior to the other sub-optimal algorithms it is compared to.…”
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Modelling the impact of prevention strategies on cervical cancer incidence in South Africa
Published 2022“…The model's screening algorithm reflects findings from the Western Cape's public health sector – low levels of screening coverage and linkage to treatment facilities, and poor adherence to screening schedules. …”
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Transient stability assessment of hybrid distributed generation using computational intelligence approaches
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Degradation estimation of high energy steam piping using hybrid recurrent neural networks
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Modelling and multi-objective optimisation of heat transfer characteristics and pressure drop of nanofluids in microtubes
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The investigation of an inexpensive infra-red camera based building monitoring system for the aid of efficient building development
Published 2020“…Lastly, the drone was successfully used to survey a building via the use of a developed protocol.…”
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The evaluation of different strategies to improve the diagnosis of tuberculosis in people living with HIV in resource-limited settings
Published 2023“…Background The 2019 WHO screening and diagnostic algorithm for tuberculosis in people living with HIV (PLHIV) has 2 components: the WHO Xpert MTB/RIF (Xpert) algorithm and WHO Alere Determine TB-LAM (AlereLAM) algorithm. …”
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Explainable Bayesian networks : taxonomy, properties and approximation methods
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Translation and rotational motion compensation techniques for Inverse Synthetic Aperture Radar (ISAR) Imaging of sea vessels
Published 2025“…Selecting a combination of the best algorithms formed the ITWSP. The alignment algorithm using sub-integer shift range alignment showed better contrast values and overall image quality compared to the integer shift range alignment algorithm, making it the clear choice for processing. …”
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Design and Implementation of Electromagnetic Actuation System to Actuate Micro/NanoRobots in Viscous Environment
Published 2023“…The closed-loop control algorithm is developed to facilitate MNR trajectory tracking and minimize the error accordingly. …”
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Protection-based Distributed Generation Penetration Limits on MV feeders - Using Machine Learning
Published 2022“…A supervised machine learning algorithm is applied after nontrivial data pre-processing through recommendation systems and shuffling. …”
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A model-based deep learning approach to spectrum management in distributed cognitive radio networks
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Multi-objective optimisation of water distribution systems design using metaheuristics
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Investigating kidney disease clinical epidemiology using routinely collected administrative data and proteomics
Published 2024“…Firstly, an internal validation of the National Health Services England (NHSE) AKI detection algorithm-generated alerts received by the United Kingdom Renal Registry. …”
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Incremental inference on higher-order probabilistic graphical models applied to constraint satisfaction problems
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