Editorial: AI-Powered IoT for Intelligent Systems and Smart Applications

Abstract

AI-powered IoT for Intelligent Systems and together different contributions that highlight innovative uses of arti fi cial intelligence (AI) for monitoring, next-generation transportation systems, and social pulse monitoring. Using design-driven innovation, the proposed various solutions to the challenges involved in implementing AI-driven systems. These include addressing the quality-of-service requirements (latency, bandwidth, and delay), hybrid mechanisms to provide reliable estimation of healthcare conditions, as well as mechanisms to support improved textual analysis. the state-of-the-art of atrial (AF) techniques that emerging AI models for proactive and automatic detection of AF in of conductance responses regarding the relationship between hydration between and hydration levels in the the of dysfunction. advantages of for hydration an on the relationship between skin hydration level and