Browsing Thesis & Report, BSc (Computer Science and Engineering) by Title
Now showing items 785-804 of 1267
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LRFMVD : a customer segmentation model
(Brac University, 2023-05)Customer segmentation is a big part of the superstore industry. Traditionally, the RFM model has been used to segment customers to maximize profit. This work proposes a new customer segmentation named LRFMVD based on ... -
LSTM based content prediction for edge caching using federated learning approach
(Brac University, 2021-06)With rapid expansion and worldwide penetration of internet usage, there has been a rapid growth and development in the field of communication technology. To meet a never ending demand of excellence in quality and ... -
Lung cancer detection and classification using machine learning
(Brac University, 2023-05)Lung cancer is a term known to all nowadays. This disease grows in the lung tissues and starts to spread with time. The cells responsible for air passage are corrupted by it. It can happen because of air pollution. When ... -
Machine learning approach for ECG analysis and predicting different heart diseases
(BRAC University, 2018-12)In the modern world, there have been some revolutionary advancement in the field of medical science and research and this is no different for electrocardiogram. Electrocardiogram (also abbreviated as ECG) illustrates the ... -
Machine learning approach for face recognition from 3D models generated by multiple 2D angular images
(Brac University, 2018-12)We propose machine learning approach for face recognition from 3D models generated by multiple 2D angular images that recognizes faces from multiple angle of a 3D face model. Though, many works on identifying faces from ... -
Machine learning approach for improving decision support in ICU
(BRAC University, 2018-07)Patients in the intensive care unit (ICU) receive a deep observation for controlling and responding to their rapidly changing physiological conditions. The quality of their care depends on clinical staff combining large ... -
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 ... -
A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
(Brac University, 2021-08)Rainfall has always been important in context of Bangladesh as almost 43% of the population depends on agriculture for their livelihood. Global warming has been taking a toll on environment and rainfall patterns have ... -
A machine learning approach to credit default prediction and Individual credit scoring
(BRAC University, 2018)In our country the credit scoring system is not in practice yet so as for our undergrad thesis, we have taken upon the challenge of delivering a model well equipped with machine learning techniques to predict loan defaults. ... -
A machine learning approach to detect DeepFake videos
(Brac University, 2021-06)DeepFake detection is important as the internet is a big part of our lives. DeepFake photos and videos can easily mislead us into thinking something that probably did not happen. It can also reduce trust in the media. ... -
A machine learning approach to detect depression and anxiety using supervised learning
(BRAC University, 2019-04)Depression, a major depressive disorder and anxiety are common medical illness which cause several symptoms that a ect the way a person feels, thinks, and the way he/she acts. These disorders are not only hard to endure, ... -
A machine learning approach to predict crime using time and location data
(BRAC University, 4/18/2017)Recognizing the patterns of criminal activity of a place is paramount in order to prevent it. Law enforcement agencies can work effectively and respond faster if they have better knowledge about ... -
A machine learning approach to predict movie box-office success
(BRAC University, 2017)Making a prediction of society’s reaction to a new product in the sense of popularity and adaption rate has become an emerging field of data analysis. The motion picture industry is a multi-billion dollar business. And ... -
A machine learning approach to predict young voter enthusiasm based on non-political factors
(Brac University, 2020-04)The right to vote is considered to be the backbone of democracy. As we are entering the third decade of 21st century more and more countries around the world are adopting the democratic government system. One of most ... -
Machine learning as an indicator for breast cancer prediction
(BRAC University, 2018-12)Affecting roughly around 10 percent of the women across the globe in some stage of their lives,Breast Cancer has stood out to be one of the most feared and frequently occurring cancers at present among women[1]. While ... -
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 In breast cancer prognosis and prediction
(Brac University, 2022-05-19)In the human body, cancer is a condition that causes cells to proliferate quickly and uncontrolled across the whole body. It has the ability to arise in any of the billions of cells that build up the human body. Human cells ... -
A machine learning-based approach for data analysis to ascertain suicidal individuals from Social media users
(Brac University, 2023-01)In this research, we propose a hybrid model for predicting suicide risk from text data that incorporates BERT, VADER, and a Random Forest classifier for sentiment analysis. This model aims to identify individuals who may ... -
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 ...
