Search
Now showing items 61-70 of 300
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 ...
Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
(Brac University, 2015-08)
Coronavirus 2019 (in short, COVID-19), originated in the Wuhan province of China
in December 2019, has been declared a global pandemic by WHO in March 2020.
Since its inception, it’s rapid spread among nations had initially ...
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 ...
A counseling system to predict the study path for freshmen
(BRAC University, 2019-04)
Now a days, dilemma related to one's career has been considered as a serious issue,
specially among fresh graduates. Starting at the age of 18, the students usually fail
to grasp the idea of which career path to pursue ...
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 ...
An advanced healthcare android application with machine learning
(BRAC University, 2018)
In this thesis, an advanced healthcare application on android platform is proposed and demonstrated using machine learning techniques. This advance healthcare application allows the user to conduct critical prognosis based ...
Prediction of genetic mutation from clinical data of sickle cell disease using few-shot siamese bidirectional LSTM and federated learning
(Brac University, 2023-05)
Sickle Cell Disease is a monogenic genetic disorder which often leads to various
repercussions affecting multiple vital organs simultaneously. However, the treat-
ment for Sickle Cell is diverse and often varies from ...
Predicting criminal activities analyzing video signal using machine learning
(Brac University, 2020-04)
Criminology is a method that is used to perceive wrongdoing and criminal qualities.
The crooks and the wrongdoing occasion likelihood can be overviewed with the
help of criminology frameworks. Video analysis and machine ...
Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning
(BRAC University, 2018-12)
Cancer starts when cells of body begin to grow rapidly. Cells in nearly any part of the
body can become cancer and can spread to other areas of the body. The origin of Chronic
Lymphocytic Leukemia (CLL) in the bone marrow ...
Road sign detection and translation in Bangla using image processing and machine learning
(Brac University, 2019-08)
For the drivers while driving, road signs play very important role but it is really
challenging for the drivers' if they are not at home with the meanings of the signs.
Driving is a process which is complex, continuous, ...