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Now showing items 11-20 of 36
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 ...
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 ...
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 ...
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 ...
High frequency rainfall prediction using machine learning approach to numerical weather modelling
(Brac University, 2021-06)
The weather has an impact on almost every aspect of our daily lives. Life would be
much easier if we could control the weather. Until then, we will have to settle for
trying to predict weather but weather prediction is ...
Cryptocurrency price prediction and forecasting using machine learning algorithm and long- short term memory mapping
(Brac University, 2021-01)
Cryptocurrency has been a fascinating topic of many over the past few years, as many
people are starting to trade these currencies for big cash-outs. It is a decentralized digital
currency. It is a cryptocurrency that ...