[HTML][HTML] Bensignnet: Bengali sign language alphabet recognition using concatenated segmentation and convolutional neural network

ASM Miah, J Shin, MAM Hasan, MA Rahim - Applied Sciences, 2022 - mdpi.com
Sign language recognition is one of the most challenging applications in machine learning
and human-computer interaction. Many researchers have developed classification models …

Convolutional neural network and its pretrained models for image classification and object detection: A survey

B Jena, GK Nayak, S Saxena - Concurrency and Computation …, 2022 - Wiley Online Library
At present, in the age of computers and automation of services, deep learning (DL)
technology, mainly the subset of machine learning (ML) and artificial intelligence (AI), is …

Explainable federated learning for privacy-preserving bangla sign language detection

BS Diba, JD Plabon, MDM Rahman, D Mistry… - … Applications of Artificial …, 2024 - Elsevier
Sign language plays a crucial role as an inclusive mode of communication for individuals
experiencing challenges addressing both hearing and speech aspects. Bengali Sign …

Bangla sign alphabet recognition with zero-shot and transfer learning

RA Nihal, S Rahman, NM Broti, SA Deowan - Pattern Recognition Letters, 2021 - Elsevier
Bangla, being the fifth most spoken language in the world has its own distinct sign language
with two methods (one-handed and two-handed) of representation. However, a standard …

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 …

COVID-19 pneumonia detection in chest X-ray images using transfer learning of convolutional neural networks

M Phankokkruad - Proceedings of the 3rd international conference on …, 2020 - dl.acm.org
The COVID-19 pandemic is the defining global health crisis and the greatest challenge.
Since its emergence and has spread rising daily worldwide. The early diagnosis of COVID …

[HTML][HTML] Recognizing multiclass Static Sign Language words for deaf and dumb people of Bangladesh based on transfer learning techniques

MM Islam, MR Uddin, MN AKhtar, KMR Alam - Informatics in Medicine …, 2022 - Elsevier
Sign language is a language used for communication of the deaf and dumb (D&D)
community. To avoid difficulties in communication among themselves and also among …

Real-time bangla sign language detection with sentence and speech generation

D Talukder, F Jahara - 2020 23rd international conference on …, 2020 - ieeexplore.ieee.org
Sign language, the non-verbal language used by the people with hearing and speaking
disability, known as the deaf and mute, to connect the bridge of communication with others …

Spike2signal: Classifying coronavirus spike sequences with deep learning

S Ali, T Murad, P Chourasia… - 2022 IEEE Eighth …, 2022 - ieeexplore.ieee.org
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes the COVID-19
disease in humans, which has reached the scale of a global pandemic. Changes in the …

Generalization of bangla sign language recognition using angular loss functions

SK Youme, TA Chowdhury, H Ahamed, MS Abid… - IEEE …, 2021 - ieeexplore.ieee.org
Sign Language provides the means of conveying messages for hearing impaired people.
Effective communication with the masses is a great challenge for the hearing impaired …