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An ambient assisted living system for Alzheimer’s patients
(Brac University, 2022-09)
Alzheimer’s is a brain disorder that gradually deteriorates the brain functions of the
patients. As the disease progresses, victims start to lose their memory, thinking ability, eventually rendering them unable to perform ...
Real time action recognition from video footage
(Brac University, 2021)
Crime rate is increasing proportionally with the increasing rate of the population.
The most prominent approach was to introduce Closed-Circuit Television (CCTV)
camera-based surveillance to tackle the issue. Video ...
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 ...
Smart automated fruit freshness recognition system using image processing and deep learning
(Brac University, 2022-09)
Bangladesh is one such country with a tropical monsoon climate typified by
significant seasonal rainfall, high temperatures, and high humidity. A wide range
of tropical and subtropical fruits are abundant in Bangladesh. ...
A descriptive study on development of a transfer learning based fault detection model using 2D CNN for air compressors
(Brac University, 2021-06)
Fault Detection is essential for the safe and efficient operation of industrial manufacturing. Successful detection of fault features allows us to maintain a stableproduc- tion
line. Therefore, establishing a reliable and ...
Facial expression recognition: convolutional attentional masking network and ensemble approach
(Brac University, 2021-01)
Facial expression plays a significant role in human communication. The necessity of recognizing facial expression is increasing rapidly as it can be implemented in various important fields such as in human-computer interactions, ...
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 ...
Multimodal human detection in disaster situations using deep learning & artificial intelligence
(Brac University, 2022-09)
Mankind has faced natural calamities for survival since the very beginning of
human civilization. Even after 65 million years, mankind is still figuring out ways to
face natural calamities and survive its post-consequences ...
Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
(Brac University, 2020-04)
In this modern age, marketing strategy is becoming a new challenge. Not only the
global market but also people’s choices are shifting to catch the attention of buyers. Also, based on consumer’s choice organizations are ...
Time-Series Forecasting of Ethereum Price using Long Short-Term Memory (LSTM) Networks
(Brac University, 2022-05)
In recent times, ether (ETH) has become one of the most popular cryptocurrencies
that is gaining significant interest from crypto investors and developers across the
globe. The increased interest in this cryptocurrency ...