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Evolutionary deep learning
Published 2019“…An extensive analysis of twelve sentiment datasets reveal that accurate compression is possible with 3.3% loss in classification accuracy even with 75% compression of text size, which is useful in environments where data volumes are a problem. …”
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Metabarcoding pollen to identify allergenic species of grasses (Poaceae) and ragweed (Ambrosia spp.) across six monitored sites in South Africa
Published 2026“…The three taxonomic classification tools; UTAX, RDP, and BLAST were used to assign taxa, with a 50-read cutoff applied as the minimum read count, with confidence scores of ≥80% for UTAX and ≥0.8 for RDP. …”
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Metabarcoding pollen to identify allergenic species of grasses (Poaceae) and ragweed (Ambrosia spp.) across six monitored sites in South Africa
Published 2026“…The three taxonomic classification tools; UTAX, RDP, and BLAST were used to assign taxa, with a 50-read cutoff applied as the minimum read count, with confidence scores of ≥80% for UTAX and ≥0.8 for RDP. …”
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Ba’da and qabla in online news: A corpus-based study
Published 2016“…Three linguistic qualities were addressed in the present analysis: semantic values and cohesive functions, syntactic features, and idiomatic usages. …”
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An investigation of character variation in Chaetobromus Nees (Danthonieae: Poaceae) in relation to taxonomic and ecological pattern
Published 2016“…Phenetic methods revealed the existence of three groups, approximating three formerly described taxa and reflecting divergent ecological strategies in Chaetobromus. …”
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Examining the reliability of discharge ICD coding in the Red Cross War Memorial Children's Hospital administrative database
Published 2019“…Agreement of primary diagnosis coding to four characters was 26.3% with slight improvement to 34.3% when assessed to three characters. …”
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Left ventricular submitral aneurysms
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Predicting household poverty with machine learning methods: the case of Malawi
Published 2022“…This was achieved by comparing the performance of three off-the-shelf, open-source machinelearning classification algorithms namely Logistic Regression, Extra Gradient Boosting Machine and Light Gradient Boosting Machine, in correctly predicting poor and non-poor households from Malawi survey data. …”
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Detection and Analysis of Molten Aluminium Cleanliness Using a Pulsed Ultrasound System
Published 2023“…For the inclusion type classification, the multi-layer perceptron performs within 5% of the target metrics. …”
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Comparing outcomes of group and individualized physiotherapy treatment models for children with cerebral palsy in Ghana: a quasi-experimental study
Published 2024“…Participating children preand post-measurements were recorded over a three-month treatment period, accessing their motor function (using the Gross Motor Functional Measure-88 (GMFM-88), Gross Motor Function Classification System Expanded & Revised version (GMFCS E&R) and Manual Ability Classification Scale (MACS)) and the caregivers' burden of care (MCSI), health-related quality of life (EQ5D 3L version of HRQoL) and satisfaction with physical therapy (MRPS). …”
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Landslide susceptibility mapping : remote sensing and GIS approach
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Deverbal nominals in Xhosa
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COMPARATIVE EFFECTIVENESS OF LECTURE AND MATERIAL-BASED INTERACTIVE METHODS ON SELF-CONCEPT, TEST ANXIETY AND ACHIEVEMENT IN MATHEMATICS IN LAGOS STATE
Published 1995-08ThesisFull Text AvailableAccess Repository -
AN ECONOMETRIC STUDY OF EXPENDITURE PATTERNS OF CONSUMERS IN SELECTED URBAN AREAS OF NIGERIA
Published 1972-02ThesisFull Text AvailableAccess Repository -
Die ekologie en taksonomie van die mondlaktobasille van kinders
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Assessing the discoverability of variant proteins causing rare forms of paediatric diabetes using proteogenomics
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AI Stock-Screening Methodology for Portfolio Construction
Published 2021“…Based on portfolio quality factors of risk and return, the obtained results outperformed three commonly used stock screeners and the relative market indices as well. …”
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