The Edge Intelligence (EI) paradigm has recently emerged as a promising solution to
overcome the inherent limitations of cloud computing (latency, autonomy, cost, etc.) in the …

Systems for monitoring air quality are essential for reducing the negative consequences of
air pollution, but creating real-time systems encounters several challenges. The accuracy …

An examination of the dynamics of seed markets in Bihar, India, reveals a paradox—despite
an influx of wheat varieties bred by public and private sectors and the proliferation of seed …

For today's security applications, biometric systems must meet stringent requirements. The
human brain can easily detect a person's face, touch, and gesture, but it is difficult for a …

This research article explores the legal and ethical challenges posed by artificial intelligence
(AI). The authors examine the current state of AI regulations and highlight the need for clear …

Digital twin implementation enables more effective terms of evaluation and planning, and
also effective utilization of resources with a flood of knowledge to improve the real-time …

This innovative study proposes a novel tool targeted at addressing communication issues for
people with hearing impairments. This improvement focuses on smart glasses with real-time …

This chapter explores the integration of applied artificial intelligence (AI), machine learning
(ML), and edge computing in cloud environments, with a focus on leveraging these …

The rapid advancement of technology has led to an increasing demand for efficient resource
management in operating systems. This project introduces an innovative approach to …