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Interpretable MOOC dropout prediction using different Ensemble Methods and XAI
(Brac University, 2023-01)
Massive open online course (MOOC) has been around for a while, but started to
gain traction since 2012 when Coursera was established. MOOCs use pre-recorded
lectures and scheduled weekly tests to provide content and ...
An efficient deep learning approach to detect skin cancer using image data
(Brac University, 2023-01)
We propose and demonstrate an efficient deep learning approach to classify skin can cer using image data. The proposed approach is composed of several stages which
are data acquisition, preprocessing and classification. ...
Comparative analysis of machine learning models for stock price analysis across different dataset sizes
(Brac University, 2023-05)
The nature of the stock market has always been ambiguous as it constantly fluctuates for various factors. The regular fluctuations have always made it difficult
for investors to invest. This paper compares six different ...
Automatic waste classification using deep learning and computer vision techniques
(Brac University, 2023-03)
Waste management refers to a system that starts with classifying different kinds of
waste and gradually managing it from its inception to its final disposal. Labeling
waste in a proper manner can ensure the best outcome ...
Prediction of genetic mutation from clinical data of sickle cell disease using few-shot siamese bidirectional LSTM and federated learning
(Brac University, 2023-05)
Sickle Cell Disease is a monogenic genetic disorder which often leads to various
repercussions affecting multiple vital organs simultaneously. However, the treat-
ment for Sickle Cell is diverse and often varies from ...
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 ...
RED-LSTM: Real time emotion detection using LSTM
(Brac University, 2023-01)
The development of the Internet of Things and voice-based multimedia apps has
allowed for the association and capture of several aspects of human behavior through
the use of big data, which consists of trends and patterns. ...
Homomorphic encryption on deep learning in accurate prediction of brain tumour
(Brac University, 2023-01)
The brain is the most complicated organ that manages every bodily function as well
including intellect, memory, emotion, taste, motor skills, vision, respiration, temperature,
and appetite. Any type of disease or damage ...
Violent activity detection through surveillance camera using deep learning
(Brac University, 2023-01)
Surveillance camera systems have been implemented in most parts of the world
to combat the rising rate of criminal activities. In the hopes of making public
places safer for everyone, computer vision has also aided in ...
Automated overtaking assistance system: a real-time approach using deep learning techniques
(Brac University, 2023-03)
Road accidents are one of the major causes of fateful deaths in Bangladesh. In most
cases it is caused by Overtaking on highways or on regular roads. In terms of overtaking
the major task is to decide whether the overtaking ...