AI-Assisted Predictive Analytics for Smart City IoT Applications

Authors

  • Ankur Singh * School of Computer Science Engineering, KIIT University, Bhubaneswar, India.
  • Esraa Aljubarah Independent Researcher, Nabels, Palestine.

https://doi.org/10.48313/siot.v3i1.115

Abstract

As urbanization accelerates globally, cities face increasing challenges related to infrastructure, transportation, and resource management. The integration of Internet of Things (IoT) devices within smart city frameworks offers significant opportunities to optimize urban operations through data-driven decision-making. This paper explores the role of AI-assisted predictive analytics in enhancing IoT applications for smart cities. By analyzing various case studies, methodologies, and frameworks, we elucidate how predictive analytics can transform urban management, improve quality of life, and foster sustainable development.

 

Keywords:

Artificial intelligence, Predictive analytics, Smart cities, Internet of things

References

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Downloads

Published

2026-03-01

Issue

Vol. 3 No. 1 (2026): Smart Internet of Things

Section

Articles

How to Cite

Singh, A., & Aljubarah, E. . (2026). AI-Assisted Predictive Analytics for Smart City IoT Applications. Smart Internet of Things, 3(1), 1-8. https://doi.org/10.48313/siot.v3i1.115

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