Artificial intelligence of things applied to assistive technology: a systematic literature review

MP de Freitas, VA Piai, RH Farias, AMR Fernandes… - Sensors, 2022 - mdpi.com
According to the World Health Organization, about 15% of the world's population has some
form of disability. Assistive Technology, in this context, contributes directly to the overcoming …

A systematic review on the chronological development of bangla sign language recognition systems

A Khatun, MS Shahriar, MH Hasan… - 2021 Joint 10th …, 2021 - ieeexplore.ieee.org
Despite sign language being the primary medium of conversation with deaf and dumb (DD)
individuals, it is hard to grasp for any class of people, making communication immensely …

Dengue prediction using machine learning algorithms

D Sarma, S Hossain, T Mittra… - 2020 IEEE 8th R10 …, 2020 - ieeexplore.ieee.org
Dengue is an arboviral disease caused by the Aedes mosquito-borne dengue viruses
(DENVs). The World Health organization (WHO) reports an annual incidence of around 100 …

[HTML][HTML] Computer vision-based six layered convneural network to recognize sign language for both numeral and alphabet signs

MA Rahaman, KU Oyshe, PK Chowdhury… - Biomimetic Intelligence …, 2024 - Elsevier
People who have trouble communicating verbally are often dependent on sign language,
which can be difficult for most people to understand, making interaction with them a difficult …

Phishing attack detection using machine learning classification techniques

NF Abedin, R Bawm, T Sarwar… - 2020 3rd …, 2020 - ieeexplore.ieee.org
Phishing attacks are the most common form of attacks that can happen over the internet.
This method involves attackers attempting to collect data of a user without his/her consent …

Hand gesture recognition for bangla sign language using deep convolution neural network

D Tasmere, B Ahmed - 2020 2nd International Conference on …, 2020 - ieeexplore.ieee.org
Around the world, deaf and dumb people are sufferers of all kinds of activities due to a lack
of proper sign language interpreters. Our research paper proposes a new hand gesture …

[PDF][PDF] Real time hand gesture recognition in depth image using cnn

D Tasmere, B Ahmed, SR Das - International Journal of Computer …, 2021 - researchgate.net
Hand gestures can play a notable role in computer vision, and hand gesture-based methods
can stand out in providing a native way of interaction. Deafness is a degree of loss such that …

Artificial neural network model for hepatitis C stage detection

D Sarma, T Mittra, M Hoq, P Haque… - EDU Journal of …, 2020 - edu-journals.com
Hepatitis C is a liver disease caused by the hepatitis C virus (HCV). In 2015, WHO reports
that 71 million people were living with HCV, and 1.34 million died. In 2017, 13.1 million …

Bangla sign digits: A dataset for real time hand gesture recognition

D Tasmere, B Ahmed, MM Hasan - 2020 11th International …, 2020 - ieeexplore.ieee.org
With current widespread computer vision study, research with a particular culture and
aesthetic contexts lead to enhanced performance with improved user experience. Despite a …

Shongket: A comprehensive and multipurpose dataset for Bangla sign language detection

SKN Hasan, MJ Hasan, KS Alam - … International Conference on …, 2021 - ieeexplore.ieee.org
Dataset is considered to be the most important resource in machine learning fields or
computer vision-based applications. Image classification problems are heavily influenced by …