June 2026
Intermediate
640 pages
17h 16m
English
Content preview from Quantum Machine Learning
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8Smarter IoT: Integrating AI and Machine Learning for Sustainable Systems and Intelligent Automation
K. Megala1, K. Tulip Raaj1, R. Bala Krishnan2, N. Rajesh Kumar2 and G. Manikandan1*
1School of Computing, SASTRA Deemed University, Tamil Nadu, India
2Department of Computer Science and Engineering, Srinivasa Ramanujan Centre, SASTRA Deemed University, Kumbakonam, India
Abstract
A revolutionary integration of artificial intelligence (AI) with the Internet of Things (IoT), smarter IoT enables better predictive analytics, real-time processing of data, and autonomous decision-making. This chapter will highlight the main differences between the Smarter IoT systems and IoT systems that include identification of patterns and forecast trends or optimize processes without human intervention. This is how AI and IoT come together to meet requirements for sustainability, efficiency, and customized solutions across various sectors of manufacturing, urban development, healthcare, and energy management. Developments like edge computing and 5G enhance data processing speed and response time for more effective treatment of global challenges by the Smarter IoT in matters concerning environmental protection, energy savings, and security. The final aim of smarter IoT is to offer revolutionary contributions toward a more sustainable future through intelligent connection and automation, in addition to enhancing living standards.
Keywords: Smarter IoT, AI/ML, real-time processing, predictive analytics, ...
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