Deep Learning based Bangla Voice to Braille Character Conversion System

Deep Learning based Bangla Voice to Braille Character Conversion System

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

Bibliografski detalji
Glavni autori:	Iqbal, Syed Bayes, Rifat, Riazul Islam, Hussain, Md Akif, Biswas, Simon
Daljnji autori:	Alam, Md. Golam Rabiul
Format:	Disertacija
Jezik:	en_US
Izdano:	Brac University 2022
Teme:	Convolutional neural network(CNN) Braille Spectrogram Classification VGG-16 Arduino Uno LCD 16x4 display Machine Learning Computer algorithms Cognitive learning theory (Deep learning)
Online pristup:	http://hdl.handle.net/10361/17636

Similar Items

Segmentation of Bangla compound characters: underlying simple character detection from handwritten compound characters
od: Bhuiyan, Md Raihanul Islam, i dr.
Izdano: (2024)

Handwritten Bangla character recognition to braille pattern conversion using image processing and machine learning
od: Abir, Tawhidur Rahman, i dr.
Izdano: (2019)

Over and under voltage protection for three phase system using GSM module
od: Ahmed, Nasif
Izdano: (2018)

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

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
od: Tasnim, Sadia, i dr.
Izdano: (2023)

Prostate cancer detection using deep learning neural network with transfer learning approach
od: Badhon, Ariful Islam Mahmud, i dr.
Izdano: (2022)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
od: Choudhury, Prionto Kumar, i dr.
Izdano: (2024)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
od: Radiah, Faiza, i dr.
Izdano: (2024)

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
od: Promita, Samanta Tabassum, i dr.
Izdano: (2022)

Design, implementation and performance of a controller for uninterruptible solar hot water system
od: Hasan, Mohammed A., i dr.
Izdano: (2016)

RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
od: Rahman, Rafeed, i dr.
Izdano: (2021)

Automatic waste classification using deep learning and computer vision techniques
od: Akash, MD., i dr.
Izdano: (2023)

An automated fire suppression mechanism controlled using an Arduino
od: Rashid, Rafiz Ibne, i dr.
Izdano: (2018)

Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
od: Datta, Pranab, i dr.
Izdano: (2021)

Identifying brain abnormalities using image processing and CNN models
od: Talukder, Ismat Shehrin, i dr.
Izdano: (2021)

Eve-teasing detection from video footage using computer vision and artificial intelligence
od: Rapheo, Abdullah, i dr.
Izdano: (2023)

Detection of pneumonia from chest X-ray images using machine learning
od: Priya, Afsana Rahman, i dr.
Izdano: (2023)

Detecting brain tumor using deep neural networks from MRI images
od: Imamuzzaman, A.S.M., i dr.
Izdano: (2021)

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
od: Khisa, Pushpakali, i dr.
Izdano: (2024)

EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
od: Mim, Ankhi Akter, i dr.
Izdano: (2024)

Covid-19 infected lung detection using machine learning
od: Islam, Md. Muntaha, i dr.
Izdano: (2022)

Citrus leaf disease detection by image processing
od: Chowdhury, Mahir Faisal, i dr.
Izdano: (2024)

Comprehensive analysis and development of deep learning models for Bengali character’s spectrogram image classification in child speech: introduction of spectro SETNet
od: Ahmed, Syed Istiaque, i dr.
Izdano: (2024)

Brain hemorrhage detection using hybrid machine learning algorithm
od: Iqbal, Khondoker Nazia, i dr.
Izdano: (2022)

Homomorphic encryption on deep learning in accurate prediction of brain tumour
od: Sarwar, Arafat, i dr.
Izdano: (2023)

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
od: Sarmi, Kaniz Fatima, i dr.
Izdano: (2022)

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
od: Shahriar, Hasan, i dr.
Izdano: (2022)

Detection of Parkinson’s disease from Neuro-imagery using deep neural network with transfer learning
od: Asaduzzaman, i dr.
Izdano: (2021)

A system for fair rickshaw fare measurement in Bangladesh
od: Tahsin, Prioty Anika, i dr.
Izdano: (2023)

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
od: Ahasan, Md. Mubtasim, i dr.
Izdano: (2022)

Urban pattern recognition from multi-spectral satellite images and flood prediction using machine learning models
od: Tasnia, Rifah, i dr.
Izdano: (2024)

Wireless monitoring system and controlling software for smart greenhouse management
od: Jafar, Imran Bin, i dr.
Izdano: (2016)

Brac University launches online learning platform ‘buX’
od: The Daily Star
Izdano: (2020)

Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms
od: Farhan, Rafid, i dr.
Izdano: (2024)

An efficient approach to detect melanoma skin cancer using a custom CNN model
od: Rahman, K.M Saidur, i dr.
Izdano: (2023)

Retinal Diseases Detection using Deep Learning
od: Mashfi, Shahriar, i dr.
Izdano: (2023)

Thoracic complication detection on chest X-rays using deep learning
od: Ratul, Rizwanul Hoque, i dr.
Izdano: (2021)

Classification of Shot Selection by Batsman in Cricket Matches Using Deep Neural Network
od: Khan, Afsana, i dr.
Izdano: (2022)

Character animation using reinforcement learning and imitation learning algorithms
od: Tahmid, Tokey, i dr.
Izdano: (2021)

Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
od: Nag, Pollock, i dr.
Izdano: (2023)