The multi-disciplinary agri-technologies domain have paved a way to the big data technologies, through Machine learning. Pest management is one of the most important problems facing farmers. A normal human monitoring cannot ...

With the availability of sensor technology across the broad electromagnetic spectrum, multi-spectral imaging is increasingly used in biometric systems. Especially for face recognition, multi-spectral imaging has gained a ...

This chapter gives the detailed implementation steps of six digital logic design applications such as multiplexer/demultiplexer, encoder/decoder, shift register, counter, memory, and traffic light controller. Here, the ...

COVID-19 has engulfed over 200 nations through human-to-human transmission, either directly or indirectly. Reverse Transcription-polymerase Chain Reaction (RT-PCR) has been endorsed as a standard COVID-19 diagnostic procedure ...

Liver disease is a significant global burden on health, with about a few hundred million people suffering from chronic liver disease (CLD), with approximately 2 million deaths each year. Liver diseases are tough to identify ...

Facial biometric trait based on visible spectrum have been widely studied for gender classification in recent times due to its non-intrusive nature of image capture in a covert manner. Recently, with the advancement in ...

Spectral face recognition is gaining importance as the information from different bands can lead to robust face representation that are presentation (a.k.a, spoofing) attack resistant. However, the key challenge here is ...

The paper presents the modeling of the Multivariate model of the Human blood tissue using Gaussian and Lorentz Oscillators. The authors have demonstrated the spectroscopic modeling of the tissue in the region of near ...

Almost every form of digital information exchange can introduce communication errors. In order to overcome the inherent inaccuracy of information transmission, a few methods for error detection and correction have been ...