Yosh olimlar 3-jild 1-son (2025) · 119–121-betlar

TASVIRLARDAGI OBYEKTLAR VA NAQSHLARNI TANIB OLISH UCHUN MASHINANI O’RGANISH ALGORITMLARDAN FOYDALANISH

Sodiqov, Odilbek

DOI: 10.70413/yo-v03-i01-p1-034 · Manbada o'qish →

Annotatsiya

This article explores the use of machine learning algorithms for object and pattern recognition in images, highlighting techniques such as CNN, RNN, LSTM, and GAN. It covers their applications in healthcare, automotive, security, and design, demonstrating their impact in various industries.

Machine Learning, Object Recognition, Pattern Recognition, CNN, RNN, LSTM, GAN, Image Processing, Healthcare, Automotive, Security, Design.Машинное обучение, Распознавание объектов, Распознавание узоров, CNN, RNN, LSTM, GAN, Обработка изображений, Здравоохранение, Автомобильная промышленность, Безопасность, Дизайн.Mashinani o'rganish, Obyektlarni tanib olish, Naqshlarni tanib olish, CNN, RNN, LSTM, GAN, Tasvirlarni qayta ishlash, Tibbiyot, Avtomobil sanoati, Xavfsizlik, Dizayn.

Metadata manbasi: jurnal OAI-PMH arxivi · Sindex to'liq matnni saqlamaydi, manbaga havola beradi.