Every human being has a different electro-cardio-graphy (ECG) waveform that provides
information about the well being of a human heart. Therefore, ECG waveform can be used …

Many studies have been actively conducted on human recognition in indoor and outdoor
environments. This is because human recognition methods in such environments are …

With the advancement of information technology and societal growth, social security has
become more important than ever. Face recognition, as compared to other traditional …

Plant diseases can severely degrade the quality and productivity of any crop. Hence, an
automated forecasting model can be developed to help the farmers and agricultural experts …

Today, face recognition is the most prevalent and effective mechanism among various
biometric technologies as it is non-invasive method. It helps in identifying or verifying the …

Effective face recognition becomes challenging when significant facial features diminish due
to variations in light energy distribution incident on images. Many existing face recognition …

Plant diseases can cause significant losses to agricultural productivity; therefore, their early
prediction is much needed. So far, many machine learning-based plant disease prediction …

Since last many decades, identification of the human beings on the basis of their face
images is getting attraction in the domain of recognizing any pattern. In the proposed …

CoViD19 is a novel disease which has created panic worldwide by infecting millions of
people around the world. The last significant variant of this virus, called as omicron …

In this research, a novel real time approach has been proposed for detection and analysis of
Covid19 using chest X-ray images based on a non-iterative deterministic classifier, kernel …