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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 ...
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 ...
Bangla grammar and spelling check using machine learning
(Brac University, 2023-01)
Bangla, or Bengali, is one of the world’s most spoken languages, with hundreds of
millions of native speakers worldwide. Thousands of books are written in the Bangla
language every year, and millions of people register ...
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 ...
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 ...
An efficient approach for recyclable waste detection and classification using image processing techniques
(Brac University, 2023-01)
One of the world’s most pressing issues right now is the lack of a competent waste
management system, particularly in emerging and underdeveloped countries. Re cycling solid waste, which comprises numerous dangerous ...
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 ...
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 ...
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 ...