UNIVERSITET AVTOTURARGOHLARI BANDLIGINI MASHINALI O‘QITISH USULLARI YORDAMIDA PROGNOZLASH

Qabul qilingan: 2026-05-15

Nashr etilgan: 2026-06-06

Annotatsiya

Ushbu maqolada universitet kampusi hududidagi to'xtash joylari bandligini monitoring qilish va bashorat qilish uchun intellektual tizim ishlab chiqish ko'rib chiqiladi. Real vaqtda aniqlash uchun YOLOv8 va qisqa muddatli bashorat uchun ikki qavatli LSTM tarmog'iga asoslangan arxitektura taklif etilgan. Aniqlash aniqligi 96,8% ni, 1 soatlik bashorat ufqida determinatsiya koeffitsienti R²=0,961 ni tashkil etdi. Dasturiy ta'minot arxitekturasi va tajriba ekspluatatsiyasi natijalari tasvirlangan.

Adabiyotlar ro'yxati

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Mualliflar haqida

Elvira Tadjixodjayeva
Firdavs Ibrohimzoda
Tashkent International University of Education

"Data Science" yo‘nalishi 1-bosqich magistranti

Litsenziya

Qanday iqtibos keltirish kerak

UNIVERSITET AVTOTURARGOHLARI BANDLIGINI MASHINALI O‘QITISH USULLARI YORDAMIDA PROGNOZLASH. (2026). MMIT Proceedings, 1112-1116. https://doi.org/10.61587/

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