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Now showing items 21-30 of 43
Brain hemorrhage detection using hybrid machine learning algorithm
(Brac University, 2022-01)
Machine learning (ML) helps computers learn and program data without humans’
help. According to data scientists, machine learning can extract 60% high-quality
information, reduce the cost up to 46%, and increase operation ...
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 ...
Classification of common fetal anatomical planes from ultrasound imaging using dempster shafer theory and deep learning
(Brac University, 2022-09-29)
Ultrasound (US) examination is a widely used important instrument to monitor
mother and fetus health in a cost-effective and non-invasive way. The acquisition
of Ultrasound (US) images to determine vital fetal organs for ...
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 ...
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 ...
Fighting depression: psychological approaches among Bangladeshi university students
(Brac University, 2022-05)
In recent years, mental health deterioration cases have increased exponentially indicates
that this issue needs our attention. Stressful situations of our daily life such as
excessive study load, relationship predicaments, ...
Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
(Brac University, 2022-01)
The term ‘Deepfake’ comes from the deep learning technology. Deepfake technology can
easily and smoothly stitch anyone into any digital media where they never took part in
reality. The key components of deepfake are ...
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 ...