Showing 41 - 60 results of 1,749 for search '(( significant use based ) OR ( significant ((event decrease) OR (point decrease)) ))', query time: 0.13s Refine Results
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    Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar by Amith Khandakar (14151981)

    Published 2019
    “…Two different bias calculation techniques were used to evaluate the instances of biased prediction, which can be utilized to reduce bias to improve accuracy. …”
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    COVID-19 (SARS-CoV-2) outbreak monitoring using wastewater-based epidemiology in Qatar by Jayaprakash Saththasivam (14151669)

    Published 2021
    “…The estimated number of infected population on any given day using the wastewater-based epidemiology approach declined from 542,313 ± 51,159 to 31,181 ± 3081 over the course of the sampling period, which was significantly higher than the officially reported numbers. …”
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    Key determinants of SMEs’ export performance: a resource-based view and contingency theory approach using potential mediators by Arsalan Safari (10300058)

    Published 2020
    “…</p><h3>Design/methodology/approach</h3><p dir="ltr">This study draws on contingency theory and takes a resource-based and market-based view to provide a holistic understanding of the issue. …”
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    SVM-based task admission control and computation offloading using lyapunov optimization in heterogeneous MEC network by Abbas, Nadine

    Published 2022
    “…We develop dynamic partial offloading solutions using the Lyapunov drift-plus-penalty optimization approach. …”
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    Deep learning-based beat-to-beat arterial blood pressure estimation using distant radar signals by Farhana Ahmed Chowdhury (22564808)

    Published 2025
    “…While traditional cuff-based approaches are non-invasive, they have limitations in providing continuous blood pressure monitoring. …”
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    DiaNet v2 deep learning based method for diabetes diagnosis using retinal images by Hamada R. H. Al-Absi (16726299)

    Published 2024
    “…This study explores an alternative approach involving retinal images, building upon the DiaNet model, the first deep learning model for diabetes detection based solely on retinal images. The newly proposed DiaNet v2 model is developed using a large dataset from Qatar Biobank (QBB) and Hamad Medical Corporation (HMC) covering wide range of pathologies in the the retinal images. …”
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    Views and Concerns of Vocational Educators about the Adoption of the Reformed Vocational Curriculum: A Case Study Using Concerns-Based Adoption Model by HASSAN, SHENIN PARACKAL

    Published 2020
    “…Governance and structural reforms in the VET sector has been perceived as a means to address UAE’s alarmingly higher skills-gap challenges, enhance national workforce competencies, and establish training systems to meet 21st century skills demands. One of the significant reforms within the VET sector is the introduction of the new vocational curriculum model, that forms the basis of vocational qualifications (Q) based on the National Occupational Skills Standards (NOSS), collectively referred to as the Q+NOSS. …”
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    MACGAN: An All-in-One Image Restoration Under Adverse Conditions Using Multidomain Attention-Based Conditional GAN by Maria Siddiqua (17949149)

    Published 2023
    “…To address this, an all-in-one Multidomain Attention-based Conditional Generative Adversarial Network (MACGAN) is proposed to improve scene visibility for optimal ground, aerial, and marine navigation, using the same set of parameters across all domains. …”
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