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Now showing items 21-30 of 116
Sound classification using deep learning for hard of hearing and deaf people
(Brac University, 2022-01)
Our paper mainly focuses on developing an audio classification for people, who
cannot hear properly, using Convolutional Neural Network (CNN) and Recurrent
Neural Network (RNN). One of the many prevalent complaints from ...
Rumor detection in Bangla using machine learning & deep learning
(Brac University, 2022-05)
Over the last decade, social media networks have become a vital platform for sharing
and obtaining information. Nevertheless, one of the dark sides of this social
media fever is rumors and fake news. Because misinformation ...
Detection of alzheimer's disease using deep learning
(Brac University, 2019-12)
Machine Learning has been on top of its form over the last few years. It covers a vast
area of predictive web browsing, email and text classification, object detection, face
recognition etc. Among all of the other ...
Skin disease detection and classification using deep learning
(Brac University, 2022-01)
Skin Diseases have been the primary focus of this study, as they are one of the
most lethal diseases if not diagnosed and treated early. The research will enable
the fields of Medical Science and Computer Science to ...
Quantum error correction using quantum convolutional neural network
(Brac University, 2021-06)
Quantum computing with its powerful attributes - entanglement and superposition, is revolutionizing modern computation. Moreover, quantum computation can
be applied to a wide range of real-world applications, including ...
Research on generative sign language using neural networks
(Brac University, 2021)
Sign gesture, which is one type of non-audible specialized strategy is the medium
to correspond with individuals having auditory and talking incompetency. There
are numerous computerized methods of creating gesture-based ...
Violent activity detection through surveillance camera using deep learning
(Brac University, 2023-01)
Surveillance camera systems have been implemented in most parts of the world
to combat the rising rate of criminal activities. In the hopes of making public
places safer for everyone, computer vision has also aided in ...
Classi fication of motor imagery tasks based on BCI paradigm
(Brac University, 2019-09)
Motor imagery tasks are mental processes by which individual practices a set of
actions in their mind without actually performing the physical movements. Research
in the motor imagery tasks allow us to acquire critical ...
Application of machine learning in attentiveness detection from EEG signal
(Brac University, 2022-09-29)
Brain-computer interface (BCI) spellers enable severely motor-impaired people to
communicate through brain activity without the use of their muscles. Our brains
precisely predict what we will think. If a human-readable ...
A hybrid rumor detection model derived from a comparative study of supervised approaches
(Brac University, 2023-01)
In the current age of social media, information spreads like wildfire. Unfortunately,
this also means that misinformation or rumors can spread easily. The spread of this
misinformation can have negative consequences for ...