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Predicting criminal activities analyzing video signal using machine learning
(Brac University, 2020-04)
Criminology is a method that is used to perceive wrongdoing and criminal qualities.
The crooks and the wrongdoing occasion likelihood can be overviewed with the
help of criminology frameworks. Video analysis and machine ...
Application of deep convolutional neural network in breast cancer prediction using Digital Mammograms
(Brac University, 2022-01)
Cancer, a diagnosis so dreaded and scary, that its fear alone can strike even the
strongest of souls. The disease is often thought of as untreatable and unbearably
painful, with usually, no cure available. Among all the ...
Surveillance in Maritime Scenario using Deep-Learning and Swarm Intelligence
(Brac University, 2022-05)
Unmanned Aerial Vehicles (UAVs) have played a crucial role in supporting Search
and Rescue (SAR) Operations due to their fast movement capabilities and flexibil ity. During a search and rescue operation scenario, the time ...
Rendering interactive 3D scene as a web-page using Three.js, WebGL, and Blender
(Brac University, 2022-05)
Building websites are the most sought skill in the tech world today. It has a low
barrier of entry and is relatively easier to learn. Therefore, there is an abundance of
web developers in our current market. Unfortunately, ...
Performance analysis of stacking neural network and machine learning model for detecting fraudulent transaction
(Brac University, 2020-04)
Transaction fraud has become a fast growing issue in the world of modern technology which has become a serious threat to the financial sectors. Although these
fraudulent actions have several categories or type but online ...
Smart automated fruit freshness recognition system using image processing and deep learning
(Brac University, 2022-09)
Bangladesh is one such country with a tropical monsoon climate typified by
significant seasonal rainfall, high temperatures, and high humidity. A wide range
of tropical and subtropical fruits are abundant in Bangladesh. ...
Sound classification using deep learning for hard of hearing and deaf people
(Brac University, 2022-01)
Our paper mainly focuses on developing an audio classification for people, who
cannot hear properly, using Convolutional Neural Network (CNN) and Recurrent
Neural Network (RNN). One of the many prevalent complaints from ...
Rumor detection in Bangla using machine learning & deep learning
(Brac University, 2022-05)
Over the last decade, social media networks have become a vital platform for sharing
and obtaining information. Nevertheless, one of the dark sides of this social
media fever is rumors and fake news. Because misinformation ...
Point of care detection of anemia in non-invasive manner by using image processing and convolutional neural network with mobile devices
(Brac University, 2020-04)
A medical procedure is described as non-invasive if there is no necessity
for incision into the skin. Invasive methods can often be risky because
there is a high chance of infection. That is why the medical sector ...
Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
(Brac University, 2021-06)
Epilepsy is the most common neurological issue in people after stroke. Around
40 or 50 million individuals on the planet endure epilepsy. Epilepsy is characterized by an irregular seizure in which abnormal electrical ...