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Showing 241 - 247 results of 247 for search '(((( complement rd algorithm ) OR ( relevant data algorithm ))) OR ( level using algorithm ))', query time: 0.09s Refine Results
  1. 241
    Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study

    Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study by Alaa Abd-alrazaq (17058018)

    Published 2024
    “…</p><h3>Methods</h3><p dir="ltr">We conducted an analysis to identify research gaps in COVID-19 literature using the COVID-19 Open Research (CORD-19) data set, which comprises 1,121,433 papers related to the COVID-19 pandemic. …”
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  2. 242
    Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging

    Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging by Maricar, Mohammed Farook

    Published 2023
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  3. 243
    Exploring the Dynamic Interplay of Deleterious Variants on the RAF1–RAP1A Binding in Cancer: Conformational Analysis, Binding Free Energy, and Essential Dynamics

    Exploring the Dynamic Interplay of Deleterious Variants on the RAF1–RAP1A Binding in Cancer: Conformational Analysis, Binding Free Energy, and Essential Dynamics by Abbas Khan (5141000)

    Published 2024
    “…Hence, the current study focuses on the screening of clinically reported substitutions in the <i>RAF1</i> and <i>RAP1A</i> genes using predictive algorithms integrated with all‐atoms simulation, essential dynamics, and binding free energy methods. …”
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  4. 244
    Copy number variations in the genome of the Qatari population

    Copy number variations in the genome of the Qatari population by Khalid A. Fakhro (3158862)

    Published 2015
    “…Consistent with high consanguinity levels in the Bedouin subpopulation, we found an increased burden for homozygous deletions in this group. …”
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  5. 245
    Depthwise Separable Convolutions and Variational Dropout within the context of YOLOv3

    Depthwise Separable Convolutions and Variational Dropout within the context of YOLOv3 by Chakar, Joseph

    Published 2020
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  6. 246
    Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection

    Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection by Ahmad Yaser Alhaddad (7017434)

    Published 2022
    “…We also review methods that use machine learning algorithms to predict blood glucose trends, especially for high risk events such as hypoglycemia. …”
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  7. 247
    The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review

    The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review by Zainab Jan (17306614)

    Published 2021
    “…</p><h3>Objective</h3><p dir="ltr">This review aims to explore the machine learning algorithms used for the detection and diagnosis of bipolar disorder and its subtypes.…”
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