Edge Software Engineering for Lightweight AI: Real-Time Environmental Data Processing with Embedded Systems

Authors

  • Indrasena Manga

Keywords:

Edge AI, TinyML, Environmental Monitoring, Embedded Systems, Real-time Processing.

Abstract

The integration of edge computing and artificial intelligence has reshaped the monitoring

References

S. Singh, P. Kaur, "Artificial intelligence and IoT driven technologies for environmental pollution monitoring and management," Front. Environ. Sci., vol. 12, p. 1336088, Feb. 2024.

S. K. Gunda, “Scientific Discovery Using Machine Learning and HPC-Based Simulations,” in Book Title, Publisher, 2024.

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Published

2025-06-22

How to Cite

Indrasena Manga. (2025). Edge Software Engineering for Lightweight AI: Real-Time Environmental Data Processing with Embedded Systems . Journal of Computational Analysis and Applications (JoCAAA), 34(6), 88–104. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3020

Issue

Vol. 34 No. 6 (2025): JOCAAA

Section

Articles

License

Creative Commons License

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