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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 ...
Comparative analysis and implementation of credit risk prediction through distinct machine learning models
(Brac University, 2021-06)
Predicting the risk while lending money has always been a challenge for financial
institutions. To make such decisions many banks or financial organizations follow
different techniques to analyze a set of data. Manual ...
Detecting navigation challenges for the visually impaired with mobile monitoring of biosignal
(Brac University, 2020-04)
In recent years, mobile Brain Computer Interface (BCI) has gained much popularity in the design of navigation aids. This opens up the platform to build navigation aids based on the level of stress imposed on visually ...
Prediction of human activity using machine learning
(Brac University, 2019-12)
Involving machine learning in recognizing human activities is a widely discussed
topic of this era. It has a noticeable growth of interest for implementing a wide
range of applications such as health monitoring, indoor ...
A descriptive study on development of a transfer learning based fault detection model using 2D CNN for air compressors
(Brac University, 2021-06)
Fault Detection is essential for the safe and efficient operation of industrial manufacturing. Successful detection of fault features allows us to maintain a stableproduc- tion
line. Therefore, establishing a reliable and ...
Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
(Brac University, 2021-05)
The world is changing with the pace of information technology revolution and now
a-days anybody can access to the internet including the children. Since birth These
21st century children are able to access to the di erent ...
Estimating flood susceptibility of Bangladesh in the future year using machine learning
(Brac University, 2021-06)
Being a riverine country with more than 400 rivers, flood is a common phenomenon
for Bangladesh. As, the land is less than five meters above sea level, and also
due to heavy rainfall during monsoon season, it makes the ...
A macroeconomic model for forecasting crude oil prices with Feedforward Neural Network Grid Search Experimentation
(Brac University, 2019-12)
Crude oil is one of the most important determinant of the global and national economy and important decision making factors of industrial activities. For this reason,
numerous mathematical and machine learning approaches ...
Weather Pattern Extraction using Statistical Methods & Machine Learning Techniques
(Brac University, 2021-06)
It is known to all that the existence of life is highly dependent on the weather.
Due to the unfavorable condition of current global weather the existence of life is in
danger already. Since for the existence of lives a ...
Analysis on dengue severity using machine learning approach
(Brac University, 2021-01)
Dengue is a viral disease that spreads in tropical and subtropical regions and is especially prevalent in South-East Asia. To some certain extent, this mosquito-borne
disease triggers nationwide epidemics, which results ...