Research based on AI-Driven Urban Planning with Minimal Hardware Footprint

Authors

  • Dr. Bipin Pandey,Dr. Ritu Pahwa

Keywords:

Smart Cities, Minimal Hardware Infrastructure, Low-Cost Smart Solutions, Computer Vision in Urban Systems

Abstract

As cities expand and urban populations surge, there is an urgent need for intelligent, scalable, andresource-efficient urban planning solutions. Traditional smart city infrastructures rely heavily onextensive hardware installations—IoT sensors, surveillance systems, and high-maintenancenetworks—which pose significant cost, energy,

References

Y. Sankai, Cybernics: Fusion of Human, Machine and Information Systems. In: Sankai Y.,

Suzuki K., Hasegawa Y. (eds) Cybernics, Springer, 2014.

H. Ghalavand, S. Panahi, S. Sedghi, Opportunities and challenges of social media for

health knowledge management: A narrative review, Journal of education and health

promotion, Vol. 9, No. 1, pp: 144, 2020.

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Published

2024-05-15

How to Cite

Dr. Bipin Pandey,Dr. Ritu Pahwa. (2024). Research based on AI-Driven Urban Planning with Minimal Hardware Footprint . Journal of Computational Analysis and Applications (JoCAAA), 33(05), 2139–2145. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3195

Issue

Vol. 33 No. 05 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.