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Evaluating the Performance of the Resampled nSight-2 Sensor's Spectral Configuration in Discriminating Wetland Plant Species Using Advanced Classifiers and Spectroscopy.
Published 2023“…The study also evaluated the performances of non-parametric machine learning algorithms in classifying wetland plant species using nSight-2 spectral configuration. …”
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Return to play in elite rugby players after severe knee injuries : addressing the knowledge gaps
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The effect of boundary conditions and architecture on the response of cancellous bone
Published 2019“…The images were used to determine the architectural parameters for each specimen, which were calculated using algorithms developed during the study. These algorithms were validated against existing software (BoneJ) which is available to calculate cancellous bone architectural parameters. …”
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Topology control in wireless ad hoc networks
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A machine learning hybrid approach to forecasting equity returns volatility: A South African perspective.
Published 2025“…Furthermore, based on the results of this study it can be argued that GET LSTM, GT-LSTM and ET-LSTM are the most effective financial market returns forecasting models considered, at least as it relates to the South African equities market. …”
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Systematic conservation planning and South Africa's Forest Biome: An assesment of the conservation status of South Africa's forest and reccomdentations for their conservation
Published 2014“…A high proportion of species occurring in forests are threatened and endemic. At least 56 forest occurring vascular plants and approximately 88 forest occurring faunal species are listed as IUCN red data species. …”
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Process monitoring with restricted Boltzmann machines
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An automated computer-assisted approximation of the nose in South Africans from CBCT (Cone Beam Computed Tomography) scans
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InSAR time series analysis and machine learning for ground subsidence monitoring and susceptibility mapping in Midvaal, South Africa
Published 2025“…Subsequently, machine learning algorithms including Random Forest, XGBoost, LightGBM, and CNN were employed to create ground subsidence susceptibility maps and classify the region into five risk zones: Very Low, Low, Moderate, High, and Very High. …”
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Metaheuristics for petrochemical blending problems
Published 2010“…In this study the best blend means the least-cost blend of ingredients (input) required to meet a minimum level of product (output) speci cations. …”
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Approaching authenticity issues in processed meat products by using hyperspectral imaging and chemometrics
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The development of a hardware-in-the-loop platform for the attitude determination and control testing of a small satellite
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Maternal syphilis in a rural and urban community in Western Cape, South Africa: a cross-sectional analysis
Published 2025“…While syphilis screening is mandated for all pregnant women in SA, the complexities of screening algorithms and result interpretation, as well as resource constraints, remain a challenge. …”
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On the inducibility of rooted trees
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Data security in cloud storage services
Published 2014“…To improve the efficiency of the designed architecture, the service allows the users to choose the level of severity of the data and according to this level different encryption algorithms are employed. To achieve many-read-many-write fine grained access control, we merge two algorithms (multi-authority ciphertext policy attribute-based encryption (MA- CP-ABE) and attribute-based Signature (ABS)). …”
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