Search
Now showing items 1-6 of 6
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 ...
Performance analysis of machine learning algorithms for Malware classification
(Brac University, 2022-09-29)
Malware detection research has been popular over the years as the variations and
complexity of malware attacks are increasing daily. Using variously Supervised and
Unsupervised machine learning algorithms to detect, ...
Social media trend analysis to predict the success of products using deep learning technique
(Brac University, 2022-09-29)
In recent times, social media usage has reached such heights that it has become
a powerhouse in producing trends, bringing such topics that would have remained
outside of popular consciousness. Our goal is to analyze how ...
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, ...
Prediction of bipolar disorder from mental episodes using machine learning approach
(Brac University, 2022-06-05)
A precious gift to mankind is the ability to express their emotions or feelings and also to realize. Sometimes, an omnipresent sustained feeling or emotion can dominate a person’s behavior and affect his perception which ...
Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
(Brac University, 2022-09)
Internet-based applications like social media platforms and blogs have exploded in
popularity, and with them have come reviews and commentary on people’s daily
lives. Unfortunately, the vast majority of these evaluations ...