Niqobli inson yuzini tanib olish texnologiyalaridagi yutuqlar bo‘yicha keng qamrovli sharh

Авторы

  • Ixtiyorjon Axmadjonov Farg‘ona davlat texnika universiteti
  • Muyassar Ismoilova Farg‘ona davlat texnika universiteti
  • Muhrinisa Nabiyeva Farg‘ona davlat texnika universiteti

Kalit so'zlar:

Konvolyutsiya neyron tarmoqlari, COVID-19, Chuqur o‘rganish, Yuzni aniqlash, Siyam neyron tarmoqlari

Annotatsiya

COVID-19 pandemiyasi davrida niqoblarning keng tarqalishi yuzni aniqlash tizimlariga yangi qiyinchiliklar keltirib chiqardi. Ushbu tadqiqot chuqur o‘rganish texnikalari, xususan, konvolyutsion neyron tarmoqlari (CNN) va egizak tarmoqlar yordamida niqobli yuzni aniqlash sohasidagi so‘nggi yutuqlarni ko‘rib chiqadi. Maqolada yorug‘lik o‘zgarishi, yuzning turli pozitsiyalari va qisman yashirish kabi asosiy muammolar tahlil qilinadi. Sun'iy ma'lumotlar bazalari va multimedia usullaridan foydalanib, tizimlarning aniqligini oshirish yo‘llari muhokama qilinadi. Xavfsizlik va tibbiyot sohalarida niqobli yuzni aniqlashning amaliy qo‘llanilishi va kelajakdagi tadqiqot yo‘nalishlari ko‘rsatilgan. Tadqiqot real sharoitda tanib olish tizimlarining samaradorligini oshirish uchun yangi algoritmlar ishlab chiqish zarurligi ta‘kidlanadi.

Библиографические ссылки

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Опубликован

2025-12-18

Как цитировать

Axmadjonov, I., Ismoilova, M., & Nabiyeva, M. (2025). Niqobli inson yuzini tanib olish texnologiyalaridagi yutuqlar bo‘yicha keng qamrovli sharh. Research and Implementation, (Spec 3(2), 343–354. извлечено от https://rai-journal.uz/index.php/rai/article/view/2155

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