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Now showing items 51-60 of 131
Anti-aliasing for real-time applications in 3D using deep convolutional neural network
(Brac University, 2020-04)
In this paper we present a convolutional neural network model for solving the long-
standing aliasing problem in the real time 3D graphics industry. Aliasing refers
to the problem of having hard jagged edges in the ...
Exploring the applications of deep reinforcement learning and quantum variational circuit In quantum machine learning
(Brac University, 2021-09)
In recent years, quantum computing has outperformed classical computing in many
aspects, including the advancement of approaches in Reinforcement Learning prob-
lems. Particularly, it has the power to utilize the quantum ...
Traffic congestion detection and optimizing traffic flow using object detection, optical flow and fluid dynamics
(Brac University, 2022-01)
Bangladesh has been suffering a severe traffic congestion issue ever since it has been
on a high paced development roadmap. Researches regarding solving such traffic
issue has been in the talks but has never reached a ...
Demystifying machine learning models for IOT attack detection with explainable AI
(Brac University, 2021-09)
Internet of things (IoT) dramatically is changing our lives with its newly invented
devices and applications which leads to various emerging cybersecurity challenges
or threats. The rapid growth of IoT arouses security ...
A sustainable Bitcoin architecture
(Brac University, 2022-04)
Cryptocurrencies are the new form of trade that has revolutionized how we look
into our financial institutions. Bitcoin dominates the industry with the highest
market share among the hundreds of other cryptocurrencies. ...
Finding ideal geographical location for businesses using machine learning technique
(Brac University, 2021-09)
The world has become a place where the economy is at the epicenter of it all. World
economic growth has paved the way for people to enrich their lives with all sorts
of blessings. A major chunk of this shift in the world's ...
Detecting fake news on Covid-19 using machine learning algorithms
(Brac University, 2022-05-29)
The expansion of the Internet and swift adoption of social media platforms such as Facebook, Twitter, Instagram, Reddit, etc., has seen news and information publicized in such a way that has never been perceived in human ...
A deep face-mask detection model using DenseNet169 and image processing techniques
(Brac University, 2022-01)
The world stood still during the massive breakout of the Covid-19 worldwide. This
massive outbreak of this contagious disease was occurred by being airborne. Not
only COVID but also there are many other contagious disease ...
Economic crisis prediction due to pandemic outbreak using machine learning
(Brac University, 2021-01)
Since pandemic disease outbreaks are causing a major financial crisis by affecting the worldwide economy of a nation, machine learning techniques are urgently required to forecast and analyze the economy for early economic ...
A GAN-based federated learning architecture for data augmentation of medical images
(Brac University, 2022-09)
n the medical industry, the availability of precise data limits the scope of deep learn ing applications. Institutional norms restrict hospitals and research facilities owing
to privacy concerns. Therefore, data collection ...