Hand gestures have been used as a significant mode of communication since the advent of
human civilization. By facilitating human-computer interaction (HCI), hand gesture …

This chapter describes an adaptive machine learning (ML) method for the utilization of
unlabeled data for continual model adaptation after deployment. Current methods for the …

To address the challenge of label-scarce images captured by sensor in foggy weather
condition with limited labeled data for autonomous driving, domain adaptation can be …

Sign language is the principal mode of communication for the deaf and dumb community.
Conversing with people having such disabilities is a vital challenge faced by normal people …

Hand sign classification is a challenging task in image processing and machine learning.
Robust learning algorithms are essential to achieve optimal performance. Ensemble transfer …

Renewable energy is a clean and environmentally friendly energy source. With the
increasing global emphasis on environmental protection and sustainable development …

Enhancing a network lifetime by balancing energy as well as minimizing delay is a
significant aim of Wireless Sensor Network (WSN). Besides, number of clustering …

Image watermarking serves as a visual deterrent, signaling potential infringers that the
image is protected by copyright. While various watermarking methods have been developed …

In order to achieve intelligent capture of dance posture and better analyse dance
movements. The objective is to execute the distinctive stands that the ultra-high Kinect …

The utilization of Database Management System (DBMS) for artwork is a current research
trend. By the help of an actual DBMS, it is capable to store, adapt, exhibit painting …