Two dimensional convolutional neural network CNN approach for detection of Bangla sign language

Two dimensional convolutional neural network CNN approach for detection of Bangla sign language

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Nag, Pollock, Khan, Tamim Mahmud, Biplob, Shaikh Mehedi Hasan, Barmon, Rachayita, Rahman, MD. Minhaj
مؤلفون آخرون:	Karim, Dewan Ziaul
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2023
الموضوعات:	KNN CNN Bangla sign language InceptionV3 VGG16 Resnet50 Neural network (Computer sciences) Human-computer interaction Sign language
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/21850

مواد مشابهة

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Bangla sign language recognition and sentence building using deep learning
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Gesture based implementation on neural network: Bengali sign language to text conversion
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Deaf around the world

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Skin lesion classification using different CNN models
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Basic bangla sign language recognition and sentence building using Microsoft Kinect
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Retinal Diseases Detection using Deep Learning
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Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
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LVQ and HOG based speed limit traffic signs detection and categorization
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Detection and classification of speed limit traffic signs
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