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End to end Bangla handwritten and scene text detection using convolutional neural network
(BRAC University, 8/21/2017)
Handwritten text detection from a natural image has a large set of difficulties. A systematic
approach that can automatically recognise text from handwriting, printed books, road
signs and also classifies text and nontext ...
Analysis of uncertainty in different neural network structures using Monte Carlo Dropout
(Brac University, 2023-01)
Deep learning technologies developed at an exponential rate throughout the years.
Starting from Convolutional Neural Networks (CNNs) to Involutional Neural Networks
(INNs), there are several neural network (NN) architectures ...
Image classification using deep neural network for efficient identification of traffic sign
(BRAC Univeristy, 8/21/2017)
An efficient deep learning approach to detect skin cancer using image data
(Brac University, 2023-01)
We propose and demonstrate an efficient deep learning approach to classify skin can cer using image data. The proposed approach is composed of several stages which
are data acquisition, preprocessing and classification. ...
Heartbeat sound feature extraction and classification
(Brac University, 2019-12)
Heart diseases has ranked top as the cause of death globally. The harsh truth is,
in this time it is hard to get proper medical treatment in proper time and still it
is costly. Now the only light of hope is coming from ...
A machine learning approach to predict movie box-office success
(BRAC University, 2017)
Making a prediction of society’s reaction to a new product in the sense of popularity and adaption rate has become an emerging field of data analysis. The motion picture industry is a multi-billion dollar business. And ...
Gesture based implementation on neural network: Bengali sign language to text conversion
(BRAC Univeristy, 2017-08)
This paper presents a novel system that converts Bengali Sign language to text using an optimum system comprising of artificial neural networksand support vector model. Bengali Sign Language, has very few research papers ...
Learning a deep neural network for predicting phishing website
(Brac University, 2019-05)
In recent years, we have seen a huge paradigm shift in business because of the
fast development of the Web. For this reason, consumers change their tendency
from customary shopping to the electronic business. In the time ...
Using deep learning algorithms to detect violent activities
(BRAC University, 2019-05)
It is of extensive importance to develop a technique for automatic surveillance video
analysis to recognize the presence of violence. In this work, to identify violent videos,
we put forward a deep neural network. For ...
Modelling option prices using neural networks
(Brac University, 2019)
In this research, modelling of the European option prices of S&P 500 index options
was carried out using Multi-layer Perceptron Neural Networks. The goal was to
train the neural networks using historical data to accurately ...