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Now showing items 31-40 of 55
Automatic braking system and smart safety features to avoid and reduce road accident
(Brac University, 2021-09)
There has been a huge increase of road accident in the last couple of years. This has been quite an issue in our country as a nationwide protest was held against it. A smart system which can do not only Vehicle to Vehicle ...
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 ...
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 ...
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 ...
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 ...
Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
(Brac University, 2021)
Image segmentation is a fundamental section of the current healthcare system to segment and
detect diseases such as disease of the lung (pneumothorax), cancer, diabetic retinopathy, dengue,
malaria, heart disease, ...
Brain tumor detection through image processing
(Brac University, 2021-01)
Begin with image processing for technology to detect brain tumors. I.e. (The identification of tumor/cancer cells from brain images is primarily based on image recognition methods, since these images are complex and human ...
What is relevant in a text document a machine learning based approach
(Brac University, 2021-06)
Text Documents often contain valuable data. But not all data is relevant. That is
why extracting relevant data from text documents is an essential task. Extracting
relevant data from text documents refers to the study ...
Multi-modal hate speech detection using machine learning
(Brac University, 2021-01)
Hate speech is a common problem that people face in any content based applications.
With continuous growth of internet users and media contents, it is very hard to track
down hateful speech in audio and video. Converting ...