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Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
(Brac University, 2021-10)
The world is going through a severe viral pandemic which is caused by COVID-
19. People infected with this virus, experience severe respiratory illness. The virus
spreads through particles of saliva or droplets from an ...
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 ...
FakeDetect: Bangla fake news detection model based on different machine learning classifiers
(Brac University, 2021-06)
Information is power although fake information can have severe consequences when
it gets viral. Living in the era of social media is like always getting influenced
by the news of the online world even though it is fake. ...
Automation requirements engineering using machine learning
(Brac University, 2021-09)
Machine learning algorithms help to automate the process in many di erent problem
domains. In the eld of Software engineering. Requirement engineering is one of the
rst stages of software development. This research ...
SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
(Brac University, 2021-01)
Importance of cyber-security in protecting our valuable data and information is huge in this era of technology. Since numerous amounts of
cyber-attacks take place every day, the development of a more secured
system so ...
A deep learning based autonomous electric vehicle on unstructured road conditions
(Brac University, 2021-09)
Autonomous driving vehicles are too known as driver-less cars which is one of the
foremost astounding advances of the twenty-first century, anticipated to be driverless,
effective, and crash dodging ideal urban cars of ...
Demystifying black-box learning models of rumor detection from social media posts
(BRAC University, 2021-09)
Social media and its users are vulnerable to the spread of rumors, therefore, protect ing users from these rumors spread is extremely important. This research proposes a
novel approach for rumor detection in social media ...
Sentiment analysis using Natural Language Processing (NLP) & deep learning
(Brac University, 2021-09)
It is an age of the Web and electronic media, and social media stages are one of the
foremost frequently used communication mediums these days. But a few individuals
utilize these platforms for a noxious reason and among ...
Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
(Brac University, 2021-10)
Every single day a large number of patients go to the hospital. But the fact is,
facilities available in hospitals are not su cient in comparison with the number of
patients. The idea of this paper is to o er a prediction ...
Utilizing machine learning to project the nancial outcomes of reconnecting with potential customers of the same industry
(Brac University, 2021-01)
In competitive markets, it is costly to attract new customers in the business as
they already have a wide customer base; that being the case, businesses spend a
healthy budget to bring back customers who have once been ...