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Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
(Brac University, 2022-05)
This research work aims to show a comparative analysis among four different deep
learning approaches to classify three rare but deadly skin diseases namely Stevens Johnson Syndrome, Erythema Multiforme and Bullous Pemphigoid. ...
Examining lexical and grammatical difficulties in Bengali language using NLP with machine learning
(Brac University, 2021-01)
Speech is the most relevant form of communication between individuals whereas computer systems use basic form of text or images Speech synthesis deals with the artificial production of speech, and a Speech-to-Text (STT) ...
A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
(Brac University, 2022-05)
The impairment of speech impediment affects 6.9% of Bangladesh’s population.
This is a condition in which people cannot communicate vocally with others or
hear what they are saying, causing them to rely on nonverbal means ...
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 ...
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 ...
Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
(Brac University, 2021-02)
Sign-language recognition is an essential part of computer vision to solve a communication obstacle between the deaf-mute and the common. Bangladeshi Sign Language (BdSL) is the medium of communication of the deaf and dumb ...
Identification and comparison of factors behind mental turbulence of public and private university students
(Brac University, 2021-06)
Among the young generation of Bangladesh, especially university students, mental
health is a challenging but ignored topic. The primary goal of this paper is to analyze
mental states found in university students all while ...
A feature selection approach to determine obesity using machine learning method
(Brac University, 2021-06)
The new health concern that is proliferating in developing and impoverished countries is obesity. It is recognized as a complex health issue caused by various factors
such as genetics, behaviour, and other issues. Obesity ...
Analysis of financial data on the time series using data from the stock market
(Brac University, 2022-05)
Predicting financial data is really important for investors Often times investors do
not have a proper tool to properly assess the market and forecast their predictions.
Furthermore, not only investors in modern day ...