Search
Now showing items 1-10 of 20
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 ...
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 ...
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 ...
Finding ideal geographical location for businesses using machine learning technique
(Brac University, 2021-09)
The world has become a place where the economy is at the epicenter of it all. World
economic growth has paved the way for people to enrich their lives with all sorts
of blessings. A major chunk of this shift in the world's ...
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, ...
The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction
(Brac University, 2020)
Over the years, data mining and machine learning have proved to be very convenient in
numerous fields of science and technology and their applications in the medical sector is an
emerging one. With the world population ...
An analysis on the effects of parenting style on offspring’s behavior using machine learning
(Brac University, 2022-12-04)
Parents are usually the most important person for a human being as they encourage
and support an offspring’s physical, emotional, social, and intellectual development
from infancy to maturity. An individual faces various ...
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 ...
A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
(Brac University, 2021-09)
Color vision approach using auto encoded technique is an effective way to detect
objects. This approach considers various factors like movement detection, size and
shape detection, color detection etc. Here we have ...