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Now showing items 11-20 of 35
A color vision approach considering weather conditions based on auto encoder techniques using deep neural networks
(Brac University, 2021-01)
Color vision approach is a riveting field of technology crucial in pioneering innovations like autonomous vehicles, autonomous drone deliveries, automated stores,
robots, infrastructure and surveillance monitoring programs ...
Classification of Bangladeshi soil texture using convolutional neural network
(Brac University, 2022-09-29)
In agriculture, soil is one of the most potential output sources. That is why, if
we can foresee the soil’s nature and how it will turn in the future as well as it’s
other qualities, we may achieve adequate monitoring ...
Demand forecasting on supply chain using ML and NN
(Brac University, 2022-05)
Demand forecasting is mainly a process whereby analyzing historical sales data,
strategic and operational strategies are devised in order to estimate customer demand.
One of the most fundamental aspects of supply chain ...
Automated image caption generator in Bangla using multimodal learning
(Brac University, 2023-01)
Experiencing an image on-screen is a privilege that we often seem not to care about.
A visually impaired person does not have that luxury. A system that can automatically
produce closed captions of an image can thus help ...
Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
(Brac University, 2022-01)
Infectious and non-infectious respiratory diseases are among the major reasons for
deaths, financial and social crises around the world. However, medical personnel
still find it very difficult to detect the diseases using ...
Music genre classification with convolutional neural network
(Brac University, 2022-01)
Today, Music is one of the effective forms of entertainment. Everyday new Music
is being composed, and the quantity of Music is increasing day by day. So, it is
essential to classify or categorize Music into different ...
Detecting Deepfake images using deep convolutional neural network
(Brac University, 2021-09)
In recent years, advancement in the realm of machine learning has introduced a
feature known as Deepfake pictures, which allows users to substitute a genuine face
with a fake one that seems real. As a result, distinguishing ...
Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
(Brac University, 2021-10)
The world is going through a severe viral pandemic which is caused by COVID-
19. People infected with this virus, experience severe respiratory illness. The virus
spreads through particles of saliva or droplets from an ...
Cancer classification using deep learning from medical image data
(Brac University, 2022-01)
Cancer is a disease in which some of the body’s cells grow uncontrollably and spread
to other parts of the body. Cancer can start almost anywhere in the human body,
which is made up of trillions of cells. There is usually ...
An efficient approach for binary classification in brain tumor detection using convolutional neural network
(Brac University, 2022-01)
Brain tumor detection using Convolutional Neural Network (CNN) models with
binary classification has significantly improved the reliability of medical imaging
through Deep Learning. The purpose of this research is to ...