People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …

Hand gesture recognition is viewed as a significant field of exploration in computer vision
with assorted applications in the human–computer communication (HCI) community. The …

Workload prediction is essential in cloud data centers (CDCs) for establishing scalability and
resource elasticity. However, the workload prediction accuracy in the cloud data center …

Most dynamic sign word misclassifications are caused by redundant spatial–temporal (SPT)
feature pruning that lacks language semantic and temporal dependencies. SPT feature …

Inconsistent hand and body features pose barriers to sign language recognition and
translation leading to unsatisfactory models. Existing recognition models are built up on the …

Sign Language (SL) is the main language for handicapped and disabled people. Each
country has its own SL that is different from other countries. Each sign in a language is …

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 …

Automatic conversion of sign language into text or speech can be really useful in
communicating among deaf or mute people with no sign language knowledge. The present …