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Occluded object detection for autonomous vehicles employing YOLOv5, YOLOX and Faster R-CNN
(Brac University, 2022-05)
Autonomous vehicles [AVs] are the future of transportation and they are likely to
bring countless benefits compared to human-operated driving. However, there are
still a lot of advances yet to be made before these vehicles ...
Predicting suicidal intent from social media text post using machine learning
(Brac University, 2022-05)
We are living in an age of modern science where cutting-edge technology has made
the world so small. We can now easily connect with people worldwide via the internet and using social media. Social media has become a popular ...
Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques
(Brac University, 2022-05)
Uprising a child is a psychological construct of parents, which is a combination of
factors that evolves over time with the growth and development of the child. Parent ing style represents a set of strategies that have ...
Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
(Brac University, 2022-05)
This research work aims to show a comparative analysis among four different deep
learning approaches to classify three rare but deadly skin diseases namely Stevens Johnson Syndrome, Erythema Multiforme and Bullous Pemphigoid. ...
A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
(Brac University, 2022-05)
The impairment of speech impediment affects 6.9% of Bangladesh’s population.
This is a condition in which people cannot communicate vocally with others or
hear what they are saying, causing them to rely on nonverbal means ...