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Displaying Ad with Optimal Real-Time Bidding
(Brac University, 2020-12)
Real-time bidding is a new paradigm for displaying an ad. Through our research work, we have
tried to find a bid optimization solution for displaying an ad in RTB. Advertisers are able to bid per
impression through RTB ...
Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
(Brac University, 2022-05)
The internet of things is one of today’s most revolutionary technologies. Because
of its pervasiveness, increasing network connection capacity, and diversity of linked
items, the internet of things (IoT) is adaptable and ...
Novel approach to detect hate speech and profanity on online platforms
(Brac University, 2021-09)
Hate speech is becoming more prominent and dominant in the virtual world, with
the popularity of social media increasing day by day. People nowadays have various
online platforms where they can express their hatred and ...
RPA based automation to reduce human intervention in data extraction process
(Brac University, 2022-05)
In this era of modern development, everything is controlled by technology. We can
not even think our life without smart devices. Robots, AI, bots, and other similar
technologies are being used to replace every minor task. ...
Prediction of anxiety and depression among the transgender in Bangladesh
(Brac University, 2022-05)
Today, mental health is as important as safety. It affects people directly and indirectly.
Transgender people with mental health issues are often overlooked and in our
nation, especially transgender women, suffer from ...
A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
(Brac University, 2022-05)
Convolutional Neural Networks (CNN)-based automated approaches are vastly utilised to
anticipate and diagnose cancer, saving time and reducing mistakes. Deep Learning (DL)
CNN methods use a variety of probabilistic and ...
ShielDroid: a hybrid ML and DL approach for real-time malware detection system in Android
(Brac University, 2021-09)
Due to the rapid development of the advanced world of technology, there is a high
increase in devices such as smartphones and tablets, which increase the number of
applications used. Though an application has to pass the ...
Machine learning-based approach on predicting online shopping addiction using EEG signals
(Brac University, 2022-05-24)
According to experts, shopping addiction is often a coping mechanism for those who are experiencing mental pain. As a result, to research online shopping addiction, researchers must look at changes in brain activity during ...
Voice impersonation detection using LSTM based RNN and explainable AI
(Brac University, 2021-10)
The advancing eld of arti cial synthetic media introduced deepfakes which made
it easier to synthesize a person's voice, identical to their original voice mechanically
to use it for negative means. People's voices are ...
COVID-19 related fake news detection model
(Brac University, 2021-01)
In this era of developed information and technology, any sort of information runs
faster than air. The reliability of the information can be tricky at times. Some
news publishing sources can publish news that are actually ...