Browsing by Subject "Neural network"
Now showing items 21-39 of 39
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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, 8/21/2017) -
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 ... -
Leveraging robust CNN architectures for real-time object recognition from conveyor belt
(Brac University, 2023-01)In the innovative era, the problem of recognizing undesirable objects and individuals on conveyor belts is addressed by various architectural or algorithmic approaches. Conveyor belts are those by which things go in a ... -
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 ... -
Plant leaf disease identification
(Brac University, 2023-01)Agriculture has consistently been an essential component of our day-to-day life over the centuries. Because of its contribution to our country’s revenue, the importance of agriculture has been steadily growing over the ... -
Pneumonia Disease detection using the convolutional neural network
(Brac University, 2023-01)A bacterial illness called pneumonia causes inflammation in the air passages with one or even both lungs. The disease can range from mild to life-threatening. Diagnosing the disease at an earlier stage is crucial for the ... -
Real-time obscene scene nudity detection and blurring in a video clip
(Brac University, 2022-09-22)Videos are widely consumed by people of all ages as a form of entertainment, information and education. However, not all videos are made for everyone. Many videos contain obscenities such as nudity, violence, blood, and ... -
Segmentation based Kidney Tumor Classification using Deep Neural Network
(Brac University, 2022-01)Kidney disease is one of many severe chronic disease that a person can have. Early detection of this disease can be pivotal for proper treatment. Different neural net works have proven to be useful in disease prediction ... -
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 ... -
Unleashing potential: a data-driven exploration of identifying player potentialities through advanced analytics in sports
(Brac University, 2024-01)In this project, we delve deeper into the complex area of predicting a potential replacement of a footballer of a specific position. For that, we used multiple machine learning models on the Sofifa dataset. Our analysis ... -
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 ... -
A viseme recognition system using lip curvature and neural networks to detect Bangla vowels
(BRAC Univeristy, 2016)Automatic Speech Recognition plays an important role in human-computer interaction, which can be applied in various vital applications like crime-fighting and helping the hearing-impaired. It consists of two domains – Audio ...
