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Secured Internet of Things (IoT) Model using Blockchain
(Brac University, 2020-12)
Anything which is connected to the internet is prone to threats. The internet has
a saying that, ”There are two types of hacked devices. One which is hacked, and
the other one is which does not know that it is hacked”. ...
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 ...
Real time performance analysis on DDoS attack detection using machine learning
(Brac University, 2020-04)
In recent years, Distributed Denial of service (DDoS) attacks have led to a tremendous
financial loss in some industries and governments. Such as banks, universities,
news and media publications, financial services, ...
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 ...
A localized adaptive architecture for dynamic wireless sensor networks
(Brac University, 2020-10)
IoT is seen as the next big thing in the world to come. Previously people were less
connected with the internet. But in recent years, IoT has seen substantial research
and innovation in many technology areas, and uses ...
User authentication using passowrd and hand gesture with leap motion sensor
(Brac University, 2020)
User Authentication is becoming a significant factor in the field of modern technology.
It is a process that permits a device to confirm the recognition of somebody
who interfaces with a system asset. In the world of AI, ...
Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder
(Brac University, 2020-03)
Automated semantic segmentation of brain tumors from 3D MRI images plays a significant role in medical image processing. Early detection of these brain tumors is
highly requisite for the treatment, screening, diagnosis ...
Automatic text summarization using Gensim Word2Vec and K-Means Clustering Algorithm
(Brac University, 2020-04)
The significance of text summarization in the Natural Language Processing (NLP)
community has now expanded because of the staggering increase in virtual textual
materials. Text summary is the process created from one or ...
Performance comparison of CNN architectures for detecting Malaria diseases
(Brac University, 2020-04)
World is facing an acute health crisis for the disease named malaria caused by the bite
of female mosquitoes of parasite named genus plasmodium. From different research
of all time it is clear that this disease is not ...
A machine learning approach to predict young voter enthusiasm based on non-political factors
(Brac University, 2020-04)
The right to vote is considered to be the backbone of democracy. As we are entering
the third decade of 21st century more and more countries around the world are
adopting the democratic government system. One of most ...