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Now showing items 11-19 of 19
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 ...
Crowd source based traffic analysis using machine learning algorithm
(BRAC Univeristy, 8/21/2017)
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 ...
Bangla license plate recognition using convolutional neural networks (CNN)
(BRAC University, 12/24/2017)
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 ...
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 ...
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 ...
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 ...
Exploring deep features: deeper fully convolutional neural network for image segmentation
(BRAC University, 4/19/2017)
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 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 ...
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 ...