Browsing by Subject "Neural network"
Now showing items 1-20 of 21
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Audio recognition using feed forward neural network optimized by principle component analysis
(BRAC University, 2017-04-18)In our proposed model we have used PCA as dimension reduction technique and neural network for pattern recognition. Our goal was to recognize audios of two vowels spoken by Parkinson’s disease Patient. The vocal of these ... -
Bangla license plate recognition using convolutional neural networks (CNN)
(BRAC University, 2017-12-24)In the last few years, the deep learning technique in particular Convolutional Neural Networks (CNNs) are using massively in the field of computer vision and machine learning. This deep learning technique provides ... -
Crowd source based traffic analysis using machine learning algorithm
(BRAC Univeristy, 2017-08-21)One of the most detrimental effects to our economy currently is most certainly Traffic jam. Be it in a public vehicle or private, valuable work hours (around 3.2 million per day) is wasted everyday while waiting in the ... -
Drone detection by neural network using SURF feature and GLCM method
(BRAC University, 2018-04)This presents a drone detection method using image processing. In the proposed model, a hybrid feature extraction method using SURF and GLCM is utilized. As a machine learning tool, we use a neural network for pattern ... -
End to end Bangla handwritten and scene text detection using convolutional neural network
(BRAC University, 2017-08-21)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 ... -
Exploring deep features: deeper fully convolutional neural network for image segmentation
(BRAC University, 2017-04-19)Classification of images has been a widely regarded challenge for the past decade, but a new type of object recognition problem which deals with pixellevel segmentation is posing a more complex task for both computer vision ... -
Forecasting market movement in Dhaka Stock Exchange: LSTM vs. ARIMA
(Brac University, 2019-04)This paper creates and examines the performance of LSTM models against ARIMA models, using Dhaka Stock Exchange data from beginning of 2000 to the beginning of 2019. An algorithm has been designed to simultaneously train ... -
Forecasting stock market prices using advanced tools of machine learning
(BRAC University, 2019-04)Stock market, a very unpredictable sector of nance, involves a large number of investors,buyers and sellers. Stock market prediction is the act of attempting to see the long run price of an organization stock or di erent ... -
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 ... -
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 ... -
Identification of childhood leukemia using deep learning
(BRAC University, 2017)Although cancer in children is rare, it is the leading cause of death past infancy amongst children. According to Afshar, Abdolrahmani, Tanha, Seif, Taheri(2010), Leukemia or blood cancer is one of the most common cancers ... -
Image classification using deep neural network for efficient identification of traffic sign
(BRAC Univeristy, 2017-08-21) -
An in depth analysis of neural network with application in finance
(BRAC University, 2019-04)Arti cial neural network model is inspired from how the nervous system of brain works. If it is designed properly it can process large amount of data or information and can give proper output for di erent application ... -
Isolated bangla handwritten character & digit recognition using convolutional neural network
(BRAC University, 2017)This paper proposes a mechanism of Handwritten Letter and Digit Recognition (HLDR) to decipher images of Bangla handwritten characters into electronically editable format, which holds an important role in augmenting and ... -
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 ... -
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 ... -
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 ... -
Spinal Cord Injured (SCI) patients Length of Stay (LOS) prediction based on admission data
(BRAC Univeristy, 2017-08)In order to take better care and to ensure better facilities to the inpatients, predicting length of stay serves great importance. Since, the resources and the doctors are limited in the hospital especially in a developing ... -
A supervised machine learning approach to predict vulnerability to drug addiction
(Brac University, 2019-08)There are signi cant amount of di erences between an addicted and non-addicted person on their social and familial behavior. In our thesis we tried to nd out the characteristics of a person related to his social and ... -
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 ...
