Bangali Handwritten characters classification using Deep Convolutional Neural Network

Bangali Handwritten characters classification using Deep Convolutional Neural Network

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

Manylion Llyfryddiaeth
Prif Awduron:	Sikder, Shihab Uddin, Muslebeen, Md. Shafiul
Awduron Eraill:	Karim, Dewan Ziaul
Fformat:	Traethawd Ymchwil
Iaith:	en_US
Cyhoeddwyd:	Brac University 2022
Pynciau:	Deep learning CNN Bangali characters Image processing DCNN Handwritten character recognition Bengali letters Bengali compound characters. Deep learning (Machine learning) Neural network. Neural networks (Computer science)
Mynediad Ar-lein:	http://hdl.handle.net/10361/17653

Eitemau Tebyg

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Handwritten character recognition using neural network
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A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten basic to compound character recognition
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An Analysis on Bengali handwritten conjunct character recognition and prediction
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A Comparative study on Bengali handwritten character recognition and prediction using CNN
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Detection of handwritten text using convolutional neural network
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Segmentation of Bangla compound characters: underlying simple character detection from handwritten compound characters
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Enhancing optical character recognition capabilities for Bengali script: the development and evaluation of Bengali CharNet
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KDANet: optical recognition for Bangla language using deep neural networks
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Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
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Pneumonia Disease detection using the convolutional neural network
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Comprehensive analysis and development of deep learning models for Bengali character’s spectrogram image classification in child speech: introduction of spectro SETNet
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ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
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Cassava leaf disease classification using deep learning and convolutional neural network ensemble
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Diabetic retinopathy detection and classification by using deep learning
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BanglaBait: using transformers, neural networks & statistical classifiers to detect clickbaits in New Bangla Clickbait Dataset
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Analysis of uncertainty in different neural network structures using monte carlo dropout
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Epileptic seizure prediction using bandpass filtering and convolutional neural network
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Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
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Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms
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An efficient deep learning approach to detect skin Cancer
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Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
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Cancer classification using deep learning from medical image data
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Analysis of uncertainty in different neural network structures using Monte Carlo Dropout
gan: Islam, Md. Farhadul, et al.
Cyhoeddwyd: (2024)

Brain tumor detection with convolutional neural network
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Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
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An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
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Quantum error correction using quantum convolutional neural network
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Cyhoeddwyd: (2021)

Classification of different magnetic structures from image data using deep neural networks
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An efficient approach for binary classification in brain tumor detection using convolutional neural network
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An efficient deep learning approach to detect skin cancer using image data
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