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Now showing items 21-30 of 52
A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
(Brac University, 2022-09-28)
The significant advancements in computational power create the vast opportunity
for using Artificial Intelligence in different applications of healthcare and medical
science. A hybrid FL-enabled ensemble approach for ...
Semantic text extraction from CAPTCHA using Neural Networking
(Brac University, 2022-05)
CAPTCHA stands for Completely Automated Public Turing Test to distinguish
Computers and Humans Apart. CAPTCHA is used for a variety of reasons, includ ing internet security. There are various CAPTCHA methods available ...
Anomalous behavior detection using Spatio temporal Feature and 3D CNN model for Surveillance
(Brac University, 2022-01)
Anomalous and violent action detection has become an increasingly relevant topic
and active research domain of computer vision and video processing, within the past
few years. It has many proposed solutions by the ...
Predicting brain age from EEG signals using machine learning and neural network
(Brac University, 2022-05)
The objective of this study was to develop a technique for calculating the ages of people’s
brains by analyzing EEG data signals and using machine learning algorithms
on a Raspberry Pi. We employed many machine learning ...
Visual object classification from fMRI data
(Brac University, 2022-01)
Computing devices were once limited in just calculating arithmetic. Whereas, in
modern computing, complex task like object classi cation or recognition has become
so popular that even our smart devices cannot be thought ...
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 ...
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 ...