Imzoni Tanib Olishda Qo'llaniladigan Asosiy Algoritmlar: Klassik Va Zamonaviy Metodlarning Solishtirilgan Tahlili
Year: 2025
Type: article
Abstract: Tadqiqotda imzoni avtomatik tanib olish jarayonida qo‘llaniladigan algoritmlarning turlari va ularning samaradorlik darajasi tahlil qilinadi. Klassik yondashuvlar — Template Matching, Euclidean Distance, Dynamic Time Warping (DTW) — va zamonaviy metodlar — Support Vector Machine (SVM), Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) — funksional va texnologik mezonlar asosida solishtirildi. Tadqiqot natijalari klassik metodlar oddiy strukturali tizimlarda samarali bo‘lsa-da, zamonaviy chuqur o‘rganish modellarining aniqlik darajasi, barqarorlik va moslashuvchanlikda ustunligini ko‘rsatdi.
Author: Otanazarov, Umrbek
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893118016
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