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Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
(Brac University, 2021-09)
eep learning, a cutting-edge machine learning technique, has outperformed classical machine learning at detecting detailed structures in complex multi-dimensional
data, particularly in the field of computer vision. As ...
Deep Learning based Medicinal Plants Leaf Recognition
(Brac University, 2022-09)
Plants assume a significant part in Earth’s nature by giving food, cover and keeping
a solid environment.These plants contain some significant therapeutic qualities. Due
to having fewer negative side effects and being ...
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. ...
Bangla grammar and spelling check using machine learning
(Brac University, 2023-01)
Bangla, or Bengali, is one of the world’s most spoken languages, with hundreds of
millions of native speakers worldwide. Thousands of books are written in the Bangla
language every year, and millions of people register ...
Heart disease prediction using techniques of classification in machine learning
(Brac University, 2021-06)
In this thesis we have examined the accuracy of various classifiers to predict heart
disease and heart vessel blockage. We have also analyzed the key features contribut ing to heart vessel blockage. We have used a dataset ...
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 ...