• شماره ركورد
    14809
  • عنوان
    مطالعه روش‌هاي طراحي خودكار صفحات وب
  • سال تحصيل
    1402
  • استاد راهنما
    محمدرضا كنگاوري
  • چکيده
    Websites are an integral part of our digital world, with more than 1.11 billion active sites currently available on the internet. Each day, approximately 252,000 new websites are launched, highlighting the rapid growth an‎d evolution of online content. In this realm, transforming website layout designs into functional user interface code is an essential yet often time-consuming aspect of web development. For many, particularly those without a strong technical background, the traditional methods of converting visual designs into working code can feel overwhelming. This process typically involves a deep understan‎ding of programming languages an‎d frameworks, which can create barriers for designers an‎d struggle with the technical aspects of implementation. Fortunately, the field of code generation from graphical user interface images has emerged as a promising area of research an‎d innovation. Recent advancements in machine learning an‎d artificial intelligence have significantly improved the ability to convert user interfaces into code. These technologies allow for a more efficient an‎d effective translation of visual designs into functional code, streamlining the development process. This not only helps bridge the gap between design an‎d development but also empowers individuals with varying levels of technical expertise to bring their creative visions to life with greater ease. As this field continues to evolve, it holds the potential to transform how websites are built, making web development more accessible an‎d efficient for everyone involved
  • نام دانشجو

    ايثار باجي

  • تاريخ ارائه
    6/10/2025 12:00:00 AM
  • متن كامل
    86882
  • پديد آورنده

    ايثار باجي

  • تاريخ ورود اطلاعات
    1404/04/22
  • عنوان به انگليسي
    The Study of automatic Web Page design methods
  • كليدواژه هاي فارسي
    هوش مصنوعي , يادگيري عميق , توليد كد
  • كليدواژه هاي لاتين
    Artificial intelligence , Deep learning , Code generation