Showing 181 - 200 results of 3,322 for search '(( significant challenge decrease ) OR ( significant ((small decrease) OR (step decrease)) ))', query time: 0.55s Refine Results
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    One-Step Coaxial Electrospinning of PS/BTO@PVDF Core–Shell Nanofibers for Double-Layered TENGs with Ferroelectric-Enhanced Charge Storage Layer by Junseo Gu (20666925)

    Published 2025
    “…Although numerous studies have presented novel methods to enhance the TENG performance by incorporating functional intermediate layers, complex multistep fabrication processes pose challenges for practical applications. In this study, polystyrene (PS)/BaTiO<sub>3</sub> (BTO)@polyvinylidene fluoride (PVDF) core–shell nanofibers (NFs) were developed through a one-step coaxial electrospinning process, simplifying fabrication while significantly increasing the energy conversion efficiency of the TENG. …”
  13. 193

    One-Step Coaxial Electrospinning of PS/BTO@PVDF Core–Shell Nanofibers for Double-Layered TENGs with Ferroelectric-Enhanced Charge Storage Layer by Junseo Gu (20666925)

    Published 2025
    “…Although numerous studies have presented novel methods to enhance the TENG performance by incorporating functional intermediate layers, complex multistep fabrication processes pose challenges for practical applications. In this study, polystyrene (PS)/BaTiO<sub>3</sub> (BTO)@polyvinylidene fluoride (PVDF) core–shell nanofibers (NFs) were developed through a one-step coaxial electrospinning process, simplifying fabrication while significantly increasing the energy conversion efficiency of the TENG. …”
  14. 194
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  16. 196

    Architecture of Swin-T model. by Wen-Qing Huang (5258126)

    Published 2024
    “…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …”
  17. 197

    Model the experimental results curve. by Wen-Qing Huang (5258126)

    Published 2024
    “…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …”
  18. 198

    Results of comparison experiments. by Wen-Qing Huang (5258126)

    Published 2024
    “…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …”
  19. 199

    Architecture of Swin Transformer Block. by Wen-Qing Huang (5258126)

    Published 2024
    “…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …”
  20. 200

    Disease distribution map of the GZDL-BD. by Wen-Qing Huang (5258126)

    Published 2024
    “…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …”