所蔵: Gesture recognition of the Kazakh alphabet based on machine and deep learning models

Gesture recognition of the Kazakh alphabet based on machine and deep learning models

Currently, a growing body of research focuses on addressing problems using computer vision libraries and artificial intelligence tools. The predominant approaches involve employing machine and deep learning models of artificial neural networks to recognize gestures in the Kazakh Sign Alphabet (KSA)...

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書誌詳細
主要な著者:	Mukhanov S., Uskenbayeva R., Rakhim A.A., Akim A., Mamanova S.
その他の著者:	57209659807
フォーマット:	Conference paper
出版事項:	Elsevier B.V. 2025
主題:	Adversarial machine learning Contrastive Learning Deep neural networks Gesture recognition Gluing Long short-term memory Palmprint recognition Self-supervised learning Support vector machines Unsupervised learning Gestures recognition Hand gesture Hand gesture recogtion Kazakh sign language Learning models Neural netwrok Neural-networks Short term memory Sign language Support vectors machine Convolutional neural networks
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Gesture recognition of the Kazakh alphabet based on machine and deep learning models

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