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Cassava leaf disease classification using deep learning and convolutional neural network ensemble
(Brac University, 2022-01)
Cassava is a high-protein and nutrient-dense plant, notably inside the leaves. Cassava
is often used as a rice alternative. Pests, viruses, bacteria, and fungus may cause
a variety of illnesses on cassava leaves. This ...
Heart disease prediction system
(Brac University, 2022-01)
[1]According to the World Health Organization (WHO), 17.9 million people die
each year due to cardiovascular diseases (CVDs), almost 31% of all deaths worldwide.
This single piece of evidence is strong enough to describe ...
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, ...
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 ...
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, ...
Intelligent assisted living in pregnancy
(Brac University, 2022-01)
Pregnancy period has always been the most sensitive and tenacious phase for the
mothers to go through. Despite living in this modern world, it is still difficult
to fight with the distress and complications of pregnancy, ...
A novel approach to reduce air pollution through machine learning based PM2.5 prediction
(Brac University, 2022-05-24)
AI (Artificial Intelligence) is one of the most fascinating subjects for computer scientists in this century. It is a technology that helps a machine to do tasks by itself which needs human intelligence. This technology ...
A decentralized employee performance appraisal framework for recruitment, performance prediction and ranking using permissioned Blockchain and ensemble learning
(Brac University, 2022-01)
Recruitment is a crucial task for Human Resource Management (HRM) and determines
the creation of a competent workforce that eventually brings tangible and
intangible benefits for companies. Employees are key elements in ...
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 ...