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Now showing items 11-20 of 78
A comparative performance analysis of accident anticipation with deep learning extractors
(Brac University, 2022-09-29)
Accident anticipation has become a major focus to avert accidents or to minimize
their impacts. Over the years, several network systems are being developed and
applied in self-driving technology. Despite the fact that ...
Heart attack prediction using machine learning and XAI
(Brac University, 2022-09)
Predictive analytics has received a lot of attention in recent years due to advances
in supporting technology, particularly in the areas of big data and machine learning.
In recent years, the uses of disease prediction ...
Prediction of anxiety and depression among the transgender in Bangladesh
(Brac University, 2022-05)
Today, mental health is as important as safety. It affects people directly and indirectly.
Transgender people with mental health issues are often overlooked and in our
nation, especially transgender women, suffer from ...
A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
(Brac University, 2022-05)
Convolutional Neural Networks (CNN)-based automated approaches are vastly utilised to
anticipate and diagnose cancer, saving time and reducing mistakes. Deep Learning (DL)
CNN methods use a variety of probabilistic 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 ...
Rumor detection in Bangla using machine learning & deep learning
(Brac University, 2022-05)
Over the last decade, social media networks have become a vital platform for sharing
and obtaining information. Nevertheless, one of the dark sides of this social
media fever is rumors and fake news. Because misinformation ...
Cardiovascular disease prediction model using Machine Learning Algorithm
(Brac University, 2022-09)
This research uses machine learning to anticipate and detect the symptoms of specific diseases after examining some of the important elements of these diseases in
order to better understand them and develop new and better ...
Recognizing sentimental emotions in text by using Machine Learning
(Brac University, 2022-10)
As one of the fastest and most prominent deep learning technologies being fiddled
with today, sentiment analysis is capable of revealing an individual’s true emotions
by analyzing their facial speech, text, facial ...
Skin cancer detection and classification using multiple optimized deep convolutional neural network
(Brac University, 2022-05)
This work tries to detect skin cancer and classify its type using datasets containing
labeled images and classes, using pre-trained CNN models and merged
pre-trained CNN models. Skin cancer is an abnormal growth of skin ...
Flood prediction using machine learning models
(Brac University, 2022-01)
Floods are one of nature’s most catastrophic calamities which cause irreversible and
immense damage to human life, agriculture, infrastructure and socio-economic system.
Floods are one of Bangladesh’s most common natural ...