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A computer vision based approach for stalking detection using CNN-LSTM hybrid model
(Brac University, 2022-05)
The next level of revolution toward a better world could involve combining human
security with machine intelligence. In recent years, stalking in public areas has
become a pervasive issue, and women are disproportionately ...
Urban sound classification using convolutional Neural Network and long short term memory based on multiple features
(Brac University, 2020-04)
There are many sounds all around us and our brain can easily and clearly identify
them. Furthermore, our brain processes the received sound signals continuously and
provides us with relevant environmental knowledge. ...
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 ...
Automatic brain tumor segmentation using U-ResUNet chain model approach
(Brac University, 2021-09)
Identifying brain tumors precisely within the early stage is still a challenging problem
for the medical sector consistent with recent research. In a previous research
approved by Cancer. Net Editorial Board, it was ...
Data security model using deep learning and edge computing for Internet of Things (IoT) in smart city
(Brac University, 2021-09)
In the current ongoing world of the IoT (Internet of Things) devices, it is absolutely
vital to have a safe, secure and reliable cyberspace. A cyberspace or network where
it is free from all sorts of unethical activities ...
Detection of Deepfake using computer vision and deep learning
(Brac University, 2023-05)
In this era of Metaverse and technological advancement, Deepfakes are one of the
most alarming concepts. Deepfakes are mostly synthetically-generated manipulated
photos or videos which is created swapping a face of a ...
Demand forecasting on supply chain using ML and NN
(Brac University, 2022-05)
Demand forecasting is mainly a process whereby analyzing historical sales data,
strategic and operational strategies are devised in order to estimate customer demand.
One of the most fundamental aspects of supply chain ...
Automated image caption generator in Bangla using multimodal learning
(Brac University, 2023-01)
Experiencing an image on-screen is a privilege that we often seem not to care about.
A visually impaired person does not have that luxury. A system that can automatically
produce closed captions of an image can thus help ...
Analysis of financial data on the time series using data from the stock market
(Brac University, 2022-05)
Predicting financial data is really important for investors Often times investors do
not have a proper tool to properly assess the market and forecast their predictions.
Furthermore, not only investors in modern day ...
Hybrid recommendation system of intelligent captioning using deep learning networks
(Brac University, 2024)
This research introduces a hybrid recommendation system through sentiment analysis
for Bangla long textual sentences. Social media, as a vast source of opinions, can
be harnessed through sentiment analysis using deep ...