AN INNOVATIVE MACHINE LEARNING BASED IOT APPROACH FOR  WASTE MANAGEMENT IN KEEN CITIES

Dr. M. Vishnu Vardhana Rao, Dr. M. Thejovathi, Dr. C. Srinivasa Kumar, K. Kusuma Kumari

AN INNOVATIVE MACHINE LEARNING BASED IOT APPROACH FOR WASTE MANAGEMENT IN KEEN CITIES

Authors

Dr. M. Vishnu Vardhana Rao, Dr. M. Thejovathi, Dr. C. Srinivasa Kumar, K. Kusuma Kumari

Keywords:

Machine Learning, Internet of Things, K-Nearest Neighbors, Support Vector Machine, Support Vector Regression.

Abstract

Efficient waste management is a critical challenge in the development of sustainable and smart cities. This study presents

References

K. Yelamarthi, M. S. Aman, and A. Abdelgawad, “An application driven modular IoT architecture,” Wireless Communications and Mobile Computing, vol. 2017, Article ID 1350929, 16 pages, 2017.

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Published

2024-12-20

How to Cite

Dr. M. Vishnu Vardhana Rao, Dr. M. Thejovathi, Dr. C. Srinivasa Kumar, K. Kusuma Kumari. (2024). AN INNOVATIVE MACHINE LEARNING BASED IOT APPROACH FOR WASTE MANAGEMENT IN KEEN CITIES. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 7028–7036. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4095