Showing 201 - 220 results of 3,973 for search '(((pinkau OR (pinn OR (ling OR line))) OR find) OR ((spinge OR spingge) OR (spinggg OR thin)))', query time: 0.20s Refine Results
  1. 201

    An investigation into how first generation Nigerian mothers living in the UK experience postnatal depression: an interpretative phenomenological analysis by Ling, Lydia Success

    Published 2019
    “…Implication for clinical practice: The findings of the study suggest the need for healthcare professionals to provide equal and unbiased services and follow guidelines for care and referral in order to effectively treat the FGNMs. …”
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    Thesis
  2. 202

    Harmonic reduction of a single-phase multilevel inverter using genetic algorithm and particle swarm optimization by Ling, Chin Wan

    Published 2016
    “…Particle swarm optimization shows strength in finding best total harmonics distortion where in 7-level cascaded H-bridge multilevel inverter (m=0.8) show 6.8% only as compared to genetic algorithm. …”
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    Thesis
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    Development of accident prediction model by using artificial neural network (ANN) by Ramli, Mohd Zakwan

    Published 2011
    Subjects: “…HE5601-5725 Automotive transportation Including trucking, bus lines, and taxicab service…”
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    Thesis
  7. 207

    A Data Mining-Based Model for Assessing Guangzhou's Higher Vocational Colleges 'New Energy Automobile Majors' Vocational Skills by He, Ling, Hamid, Hashima

    Published 2024
    “…In endurance validation tests, the hybrid model obtained an acceptable 88% F1 score, 90% recall, 86% precision, and 88% accuracy. The findings show the positive aspects of using modern data-driven methods to more closely match educational institutions with the constantly evolving needs of the AS. …”
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    Article
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    Deep learning-based microcirculation performance classification using multispectral photoacoustic technology by Chua, Hui Ling, Huong, Audrey

    Published 2024
    “…The ultrasonic waves collected from their posterior left arm under two experimental settings, namely at rest (i.e., control) and with arterial blood flow occlusions, were used to predict the microcirculation changes in tissue using the deep networks. Our findings showed the superiority of the hybrid model over the Alexnet and LSTM, with an average testing accuracy of 95.7 % and precision of 98.2 %, making it an ideal deep learning model for the task. …”
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    Article
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