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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 ...
Interpretable credit card fraud detection using deep learning leveraging XAI
(Brac University, 2022-09)
Due to the internet's widespread accessibility, more and more businesses are bringing
their offerings online. Besides, because of the growth of E-commerce websites, both
individuals and businesses that deal in finances ...
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 ...
Deepfake detection using neural networks
(Brac University, 2021-09)
Deepfake is a sort of arti cial intelligence that forge original image or video and
create persuading images, audio and video hoaxes by utilizing two contending AI
algorithms-the generator and discriminator that form a ...
A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten basic to compound character recognition
(Brac University, 2021-08)
With the recent advancement in artificial intelligence, the demand for handwrit-
ten character recognition increases day by day due to its widespread applications
in diverse real-life situations. As Bangla is the world’s ...
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 ...
One voice is all you need: a one-shot approach to recognize you
(Brac University, 2021-09)
Human knowledge can quickly learn any unfamiliar concepts based on what they
have previously learned. Keeping this in mind, researchers tested training models
with limited training data in machine learning classification ...