Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …

This paper proposes a Convolutional Neural Networks (CNN) based model for the diagnosis
of COVID‐19 and non‐COVID‐19 viral pneumonia diseases. These diseases affect and …

This research aimed to design a webinar platform that can help the deaf understand
information while attending online seminars using sign language interpreter features. That …

Deep Learning has become popular among researchers for a long time, and still, new deep
convolution neural networks come into the picture very frequently. However, it is challenging …

This study presents the design of an intelligent system based on deep learning for grading
fruits. For this purpose, the recent residual learning‐based network “ResNet‐50” is designed …

Sign language is a physical language that enables people with disabilities to communicate
using hand and facial gestures. For this reason, it is very important for people with …

The need to express oneself clearly and freely is a fundamental desire and must be
available to all regardless of any handicap they face. Often, people that endure hearing and …

This paper presents the design of the hybrid system that uses the HOG (Histogram of
oriented gradients) with convolutional neural networks (CNN) for traffic sign recognition. The …

Deep Learning has attracted the research community's attention for a long time, and still,
new deep models come into the picture very frequently. It is challenging to know and select …

4.2 Scope of the work 4 5. Original contribution by the thesis 4 6. Methodology of research,
results/comparisons 5 6.1 Handcrafted features based static hand gesture recognition 5 6.2 …