يعرض 1 - 20 نتائج من 30 نتيجة بحث عن 'user perception algorithm', وقت الاستعلام: 0.25s تنقيح النتائج
  1. 1
  2. 2

    Gender distribution of addicted users. حسب Jing He (58446)

    منشور في 2025
    "…</p><p>Conclusion</p><p>The addiction of virtual reality users is related to multiple factors such as gender, age, usage time, application type, and perception level. …"
  3. 3

    Age distribution of addicted users. حسب Jing He (58446)

    منشور في 2025
    "…</p><p>Conclusion</p><p>The addiction of virtual reality users is related to multiple factors such as gender, age, usage time, application type, and perception level. …"
  4. 4

    Evaluating the Effectiveness of Mobile Precision Push Services A User-Centric Behavioral Framework حسب Wang Peng (20617712)

    منشور في 2025
    "…It seeks to identify which experiential dimensions most significantly influence user perception, and how these perceptions translate into behavioral responses.…"
  5. 5

    Description of variables. حسب Jing He (58446)

    منشور في 2025
    "…</p><p>Conclusion</p><p>The addiction of virtual reality users is related to multiple factors such as gender, age, usage time, application type, and perception level. …"
  6. 6

    Generative AI and Journalism: Content, Journalistic Perceptions, and Audience Experiences حسب T.J. Thomson (9015119)

    منشور في 2025
    "…These biases exist because of human biases embedded in training data and/or the conscious or unconscious biases of those who develop AI algorithms and models. Attempts to algorithmically “force” output diversity by default have failed, sometimes dramatically. …"
  7. 7

    <b>Rethinking neighbourhood boundaries for urban planning: A data-driven framework for perception-based delineation</b> حسب Shubham Pawar (22471285)

    منشور في 2025
    "…Rethinking Neighbourhood Boundaries for Urban Planning<p dir="ltr">A data-driven framework for delineating urban neighbourhoods based on perception data from street view imagery.</p><h2>Table of Contents</h2><ul><li><a href="https://file+.vscode-resource.vscode-cdn.net/c:/Users/smp3/git/perception_based_neighbourhoods/README.md#overview" target="_blank">Overview</a></li><li><a href="https://file+.vscode-resource.vscode-cdn.net/c:/Users/smp3/git/perception_based_neighbourhoods/README.md#project-structure" target="_blank">Project Structure</a></li><li><a href="https://file+.vscode-resource.vscode-cdn.net/c:/Users/smp3/git/perception_based_neighbourhoods/README.md#prerequisites" target="_blank">Prerequisites</a></li><li><a href="https://file+.vscode-resource.vscode-cdn.net/c:/Users/smp3/git/perception_based_neighbourhoods/README.md#installation" target="_blank">Installation</a></li><li><a href="https://file+.vscode-resource.vscode-cdn.net/c:/Users/smp3/git/perception_based_neighbourhoods/README.md#usage-guide" target="_blank">Usage Guide</a></li><li><ul><li><a href="https://file+.vscode-resource.vscode-cdn.net/c:/Users/smp3/git/perception_based_neighbourhoods/README.md#step-1-download-street-view-images" target="_blank">Step 1: Download Street View Images</a></li><li><a href="https://file+.vscode-resource.vscode-cdn.net/c:/Users/smp3/git/perception_based_neighbourhoods/README.md#step-2-predict-perceptions" target="_blank">Step 2: Predict Perceptions</a></li><li><a href="https://file+.vscode-resource.vscode-cdn.net/c:/Users/smp3/git/perception_based_neighbourhoods/README.md#step-3-generate-neighbourhood-clusters" target="_blank">Step 3: Generate Neighbourhood Clusters</a></li></ul></li><li><a href="https://file+.vscode-resource.vscode-cdn.net/c:/Users/smp3/git/perception_based_neighbourhoods/README.md#quick-test" target="_blank">Quick Test</a></li><li><a href="https://file+.vscode-resource.vscode-cdn.net/c:/Users/smp3/git/perception_based_neighbourhoods/README.md#reproducing-manuscript-results" target="_blank">Reproducing Manuscript Results</a></li><li><ul><li><a href="https://file+.vscode-resource.vscode-cdn.net/c:/Users/smp3/git/perception_based_neighbourhoods/README.md#tables" target="_blank">Tables</a></li><li><a href="https://file+.vscode-resource.vscode-cdn.net/c:/Users/smp3/git/perception_based_neighbourhoods/README.md#figures" target="_blank">Figures</a></li></ul></li><li><a href="https://file+.vscode-resource.vscode-cdn.net/c:/Users/smp3/git/perception_based_neighbourhoods/README.md#citation" target="_blank">Citation</a></li></ul><h2>Overview</h2><p dir="ltr">This repository contains the complete workflow for delineating perception-based urban neighbourhoods using street view imagery and deep learning. …"
  8. 8

    <b>An Empirical Evaluation of Software Quality Classification Based on User Feedback Aligned</b><b>with ISO/IEC 25010</b> حسب mesut polatgil (22408147)

    منشور في 2025
    "…<p dir="ltr">Evaluating software quality without access to the source code is a challenging task, as traditional metrics and testing approaches often rely on internal code analysis. However, user feedback offers a valuable alternative data source by reflecting real-world quality issues and user perceptions. …"
  9. 9

    Ethics of algorithmic invasiveness in beauty apps: an online experimental survey of public perspectives حسب Yves Saint James Aquino (12311423)

    منشور في 2025
    "…However, acceptability depends on context: functionalities tied to commercial applications, like personalised product recommendations, are often deemed less problematic despite similar data-use practices. User demographics and attitudes further shape perceptions. …"
  10. 10

    Table 2_Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions.docx حسب Rabie Adel El Arab (14113425)

    منشور في 2025
    "…This framework offers a structured, ethically informed, and user-centric approach, advocating for AI as complementary to human expertise.…"
  11. 11

    Table 4_Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions.docx حسب Rabie Adel El Arab (14113425)

    منشور في 2025
    "…This framework offers a structured, ethically informed, and user-centric approach, advocating for AI as complementary to human expertise.…"
  12. 12

    Table 3_Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions.docx حسب Rabie Adel El Arab (14113425)

    منشور في 2025
    "…This framework offers a structured, ethically informed, and user-centric approach, advocating for AI as complementary to human expertise.…"
  13. 13

    Table 1_Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions.docx حسب Rabie Adel El Arab (14113425)

    منشور في 2025
    "…This framework offers a structured, ethically informed, and user-centric approach, advocating for AI as complementary to human expertise.…"
  14. 14
  15. 15

    Research on the double-edged effect of intelligent algorithm recommendation on shaping college students' values and the path of collaborative governance حسب Ye Geng (22390195)

    منشور في 2025
    "…<p dir="ltr">This study proposes a stochastic game model of value perception using a multi-agent reinforcement learning framework to address the double-edged influence of algorithmic recommendation systems on college students' values. …"
  16. 16
  17. 17
  18. 18

    Acoustic vocal tremor measurement (Maryn et al., 2025) حسب Youri Maryn (21182441)

    منشور في 2025
    "…<p dir="ltr"><b>Purpose: </b>This study compared three methods of acoustic algorithm-supported extraction and analysis of vocal tremor properties (i.e., rate, extent, and regularity of intensity level and fundamental frequency modulation): (a) visual perception and manual data extraction, (b) semi-automated data extraction, and (c) fully automated data extraction.…"
  19. 19
  20. 20

    Table 1_Effectiveness of deep neural networks in hearing aids for improving signal-to-noise ratio, speech recognition, and listener preference in background noise.docx حسب Matthew B. Fitzgerald (11526808)

    منشور في 2025
    "…Introduction<p>Traditional approaches to improving speech perception in noise (SPIN) for hearing-aid users have centered on directional microphones and remote wireless technologies. …"