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Now showing items 111-120 of 132
Detection of coronary artery blockage at an early stage using effective deep learning technique
(Brac University, 2022-09-28)
A coronary artery blockage is a form of coronary artery disease also known as CAD.
It is the most common and frequent disease affecting the human body over the age
of 65. CAD is a type of cardiovascular disease that ...
Sentiment analysis using Natural Language Processing (NLP) & deep learning
(Brac University, 2021-09)
It is an age of the Web and electronic media, and social media stages are one of the
foremost frequently used communication mediums these days. But a few individuals
utilize these platforms for a noxious reason and among ...
Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
(Brac University, 2021-10)
Every single day a large number of patients go to the hospital. But the fact is,
facilities available in hospitals are not su cient in comparison with the number of
patients. The idea of this paper is to o er a prediction ...
Application of machine learning in identification of best teaching method for children with autism spectrum disorder
(Brac University, 2022-05)
A good teaching method is incomprehensible for an autistic child. The autism
spectrum disorder is a very diverse phenomenon. It is said that no two autistic
children are the same. So, something that works for one child ...
Utilizing machine learning to project the nancial outcomes of reconnecting with potential customers of the same industry
(Brac University, 2021-01)
In competitive markets, it is costly to attract new customers in the business as
they already have a wide customer base; that being the case, businesses spend a
healthy budget to bring back customers who have once been ...
Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
(Brac University, 2021-09)
eep learning, a cutting-edge machine learning technique, has outperformed classical machine learning at detecting detailed structures in complex multi-dimensional
data, particularly in the field of computer vision. As ...
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 ...
Application of CNN based architectures in detection of distracted drivers
(Brac University, 2022-08)
Distracted driving is known to be one of the most significant reasons behind the
occurrence of traffic accidents. Moreover, the phenomenon of the occurrence of
road accidents due to distracted driving has been increasing ...
FakeDetect: Bangla fake news detection model based on different machine learning classifiers
(Brac University, 2021-06)
Information is power although fake information can have severe consequences when
it gets viral. Living in the era of social media is like always getting influenced
by the news of the online world even though it is fake. ...
Customer segmentation using K-means
(Brac University, 2022-05)
Sales Maximization is a critical aspect of operating any business. Our thesis aims
to help businesses to probe deep into their market reach as we group customers us ing the customer segmentation approach. Our dataset is ...