Browsing by Subject "Decision tree"
Now showing items 21-37 of 37
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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 ... -
A hybrid rumor detection model derived from a comparative study of supervised approaches
(Brac University, 2023-01)In the current age of social media, information spreads like wildfire. Unfortunately, this also means that misinformation or rumors can spread easily. The spread of this misinformation can have negative consequences for ... -
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 machine learning approach on classifying orthopedic patients based on their biomechanical features
(BRAC University, 2018-04)A person’s orthopedic health condition can be detected from his biomechanical features. Application of machine learning algorithms in medical science is not new. Different algorithms are applied to detect diseases and ... -
Machine learning based data processing and latency reduction in the internet of things for agriculture
(BRAC University, 2018-12)The Internet of Things is best stated as a network of “things” that have the ability to generate and share information between themselves and interact with the environment according to the percepts from this environment. ... -
Machine learning for stress prediction
(Brac University, 2023-01)Emotional, psychological, and social well-being are all part of mental health. Stress, social anxiety, depression, and personality disorders are just a few of the elements that build up mental health issues that lead to ... -
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 ... -
Modelling and forecasting energy demand of Bangladesh using AI based algorithms
(Brac University, 2019-04)Bangladesh being one of the ve fastest growing economies in the world with its enormous 164.7 million population is facing a huge challenge of adapting to the surging demand of electricity rising throughout the country ... -
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 ... -
Parking data analysis
(Brac University, 2023-03)Car parking is a hassle for everyone in one word, but when it is in a country where population is an issue, parking problems can easily stress someone out. Car parking is a key contributor to traffic congestion and has ... -
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, ... -
Power pilferage detection and identification system
(Brac University, 2022-12)Energy Pilferage is a volatile activity that is hampering the socioeconomic growth of our country. Energy Pilferage is the act of illegally using unauthorized amount of power for individual gain. Local areas such as: ... -
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 ... -
Predicting stock market movement using sentiment analysis of twitter feed
(BRAC University, 4/16/2017)Collecting opinions of mass people through the social networking sites has become easy and handy now-a-days. These opinions show the sentimental state of a large number of people, which, according to behavioral economics, ... -
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 ... -
A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
(Brac University, 2019-09)The application of Arti cial intelligence (AI) has become a valuable part of medical research. These days diabetes is one of the top maladies on the planet. Nowadays it has become a common disease and alarming as people ... -
Text classification using machine learning algorithms
(BRAC University, 8/2/2018)Financial, educational and communal activities produce enormous amount of data. Automatic text classification has significant application in content organization, point of view extraction, evaluation analysis, spam filtering ...
