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Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques
(Brac University, 2019-08)
In the area of machine learning, speech recognition was always a hot topic but as
world's 8th most widely spoken language Bangla hasn't got the focus as much as she
deserved. This research will be on speech recognition ...
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 ...
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 ...
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 ...
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. ...
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 ...
Identifying Bangla deceptive news using machine learning and deep learning algorithms
(Brac University, 2023-05)
Internet-based resources are utilized by the vast majority of individuals today. The
news published on websites and shared on social media platforms are examples of
such resources. Due to the increasing number of content ...
Learning a deep neural network for predicting phishing website
(Brac University, 2019-05)
In recent years, we have seen a huge paradigm shift in business because of the
fast development of the Web. For this reason, consumers change their tendency
from customary shopping to the electronic business. In the time ...
Analyzing area-wise air pollution level using machine learning for a better future
(Brac University, 2021-09)
Environment consists of nature and surroundings where all living beings co-exist.
Harming the environment will in turn harm all living and non-living things alike.
One of the major concerns of environment pollution is ...