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.

Bibliografiske detaljer
Main Authors:	Nag, Pollock, Khan, Tamim Mahmud, Biplob, Shaikh Mehedi Hasan, Barmon, Rachayita, Rahman, MD. Minhaj
Andre forfattere:	Karim, Dewan Ziaul
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2023
Fag:	KNN CNN Bangla sign language InceptionV3 VGG16 Resnet50 Neural network (Computer sciences) Human-computer interaction Sign language
Online adgang:	http://hdl.handle.net/10361/21850

Lignende værker

Research on generative sign language using neural networks
af: Selim, Bushra Binte, et al.
Udgivet: (2021)

Sign Languages
af: Edited by Diane Brentari
Udgivet: (2012)

Image translation of Bangla and English sign language to written language using convolutional neural network
af: Bismoy, Muttaki Islam, et al.
Udgivet: (2022)

Identifying brain abnormalities using image processing and CNN models
af: Talukder, Ismat Shehrin, et al.
Udgivet: (2021)

Bangla sign language interpretation using image processing
af: Arko, Fahmid Nasif, et al.
Udgivet: (2017)

Bangla sign language recognition and sentence building using deep learning
af: Shurid, Safayet Anowar, et al.
Udgivet: (2021)

Sign language conversion and training by machine learning with an IOT approach
af: Nazib, Rezoan Ahmed, et al.
Udgivet: (2018)

Analyzing students’ concentration in online courses through Webcam
af: Asif, Md., et al.
Udgivet: (2024)

Gesture based implementation on neural network: Bengali sign language to text conversion
af: Hasan, S.M. Farzana, et al.
Udgivet: (2018)

Deaf around the world

Detecting brain tumor using deep neural networks from MRI images
af: Imamuzzaman, A.S.M., et al.
Udgivet: (2021)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
af: Rahman, Afridi Ibn, et al.
Udgivet: (2022)

A smart avatar tutor for mimicking characters of Bangla sign language
af: Islam, Apu, et al.
Udgivet: (2024)

Bone age comparison using convolutional neural network
af: Nawaz, Fariha, et al.
Udgivet: (2019)

Covid-19 infected lung detection using machine learning
af: Islam, Md. Muntaha, et al.
Udgivet: (2022)

Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
af: Datta, Pranab, et al.
Udgivet: (2021)

Night mode prohibitory traffic signs detection
af: Biswas, Rubel, et al.
Udgivet: (2017)

Traffic sign recognition using deep learning
af: Amir, Afia Binte, et al.
Udgivet: (2020)

A deep learning approach for pneumonia classiﬁcation from chest X-Ray images with ensemble modelling and explainable AI
af: Akhter, Nasrin
Udgivet: (2023)

Speed limit traffic sign recognition in night mode based on deformable spatial pyramid
af: Pinku, Subroto Nag
Udgivet: (2016)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
af: Khan, Farhan Sakib, et al.
Udgivet: (2022)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
af: Ismail, Sayem Mohammad, et al.
Udgivet: (2021)

An efficient interpretation model for people with hearing and speaking disabilities
af: Sayeed, M. M. Mahmud, et al.
Udgivet: (2017)

Bengali hand sign language recognition using convolutional neural networks
af: Rumi, Roisul Islam, et al.
Udgivet: (2019)

A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
af: Rahman, Aryan, et al.
Udgivet: (2023)

Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
af: Hossain, Mohammad Sakib, et al.
Udgivet: (2023)

Skin lesion classification using different CNN models
af: Oli, Md. Yahea Sultan
Udgivet: (2023)

Basic bangla sign language recognition and sentence building using Microsoft Kinect
af: Ahmed, Khan Rafin, et al.
Udgivet: (2018)

Retinal Diseases Detection using Deep Learning
af: Mashfi, Shahriar, et al.
Udgivet: (2023)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
af: Tasnim, Sadia, et al.
Udgivet: (2023)

Detection of pneumonia from chest X-ray images using machine learning
af: Priya, Afsana Rahman, et al.
Udgivet: (2023)

LVQ and HOG based speed limit traffic signs detection and categorization
af: Biswas, Rubel, et al.
Udgivet: (2017)

Detection and classification of speed limit traffic signs
af: Biswas, Rubel, et al.
Udgivet: (2017)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
af: Choudhury, Prionto Kumar, et al.
Udgivet: (2024)

Citrus leaf disease detection by image processing
af: Chowdhury, Mahir Faisal, et al.
Udgivet: (2024)

Husband’s involvement with mother’s awareness and knowledge of newborn danger signs in facility-based childbirth settings: A cross-sectional study from rural Bangladesh
af: Zaman, Sojib Bin, et al.
Udgivet: (2022)

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
af: Shahriar, Hasan, et al.
Udgivet: (2022)

Sign language detection and conversion to readable Bengali words using BdSL
af: Dhrubo, Tahsinul Haque, et al.
Udgivet: (2024)

Tomato leaf disease detection using convolutional neural network
af: Hasan, Md. Riazul, et al.
Udgivet: (2023)

Bangla sign language recognition using leap motion sensor
af: Tan, Tamkin Mahmud, et al.
Udgivet: (2020)