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Multiscale spatial modeling with applications in image analysis
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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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Valuing American-style derivatives by simulation : alternative regression-based methods
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Enhancement of the Fynbos Leaf Optical Recognition Application (FLORA-E)
Published 2021“…Numerous algorithms and techniques are available that can be used to achieve this objective. …”
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Ant Colony Optimization approaches for the Sequential Ordering Problem
Published 2014“…The second is also an extension of EACS, based on Jayadeva et al.'s (2013) EigenAnt algorithm. EigenAnt aims to avoid the problem of stagnation found in ACO algorithms by, among other unique properties, utilizing a selective rather than global pheromone evaporation model, and by discarding heuristics in the solution construction phase. …”
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BIM-Based model for the automatic generation and optimization of planning and 4-D scheduling for concrete skeleton: A graph theory approach
Published 2019“…For this purpose, an intelligent framework with advanced computational tools and algorithms is designed and created to achieve a higher degree of design-construction integration and spatial integration of individual building elements in order to achieve an optimized sequencing of building elements (in terms of time and resource utilization). …”
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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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Prediction of burden distribution and electrical resistance in submerged arc furnaces using DEM modelling
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The application of neural differential equations to enzymatic time-series
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Die identifisering en karakterisering van veldekotope in die noordwes-Transvaalse suur- en gemengde bosveld
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Designing multimodal public transport networks using metaheuristics
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An Epileptic Seizure Detection Method from EEG Signals based on a Classifier-Driven Feature Reduction Technique
Published 2023“…This thesis work aims to develop a robust and stable algorithm for epileptic seizure detection through the classification of EEG signals. …”
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Optimal allocation of distributed generation for power loss reduction and voltage profile improvement
Published 2016“…The majority of the proposed algorithms emphasize real power losses only in their formulations. …”
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Screening for Proteinopathic-related Dementias in Low-resource Clinical Contexts: A Machine Learning Approach
Published 2024“…Information from 20 clinical variables were used as features for the analysis. We used C5.0 algorithms to identify the most important features for PRD diagnosis and to derive an algorithm that could accurately diagnose these types of dementia. …”
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Market state discovery
Published 2023“…Furthermore, ASPC does not rely on the art of selecting good hyper-parameters such as, the number of states a priori. ICC's utility as a market state discovery algorithm is limited.…”
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Automatic building footprint extraction using remote sensing data within the City of Cape Town
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AN EFFICIENT INTERFERENCE AVOIDANCE SCHEME FOR DEVICE-TODEVICE ENABLED FIFTH GENERATION NARROWBAND INTERNET OF THINGS NETWOKS’
Published 2023“…Various existing interference mitigation solutions either add to the network's overhead, computational complexity and delay or are hampered by low data rate and coverage. These algorithms are unsuitable for an NB-IoT network owing to the low-complexity nature. …”
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