An Energy-Efficient Hybrid LoRa–Wi-Fi Architecture for Real- Time Water Quality Monitoring and Machine Learning-Based Trend Forecasting
- DOI
- 10.3390/s26154916
- Published
- 2026-08-04
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26154916,
title = {An Energy-Efficient Hybrid LoRa–Wi-Fi Architecture for Real- Time Water Quality Monitoring and Machine Learning-Based Trend Forecasting},
author = {Jeya Sutha Mariadhason and Emerson Raja Joseph and Purushothaman Srinivasan and Ramesh Dhanaseelan Francis},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26154916},
url = {https://doi.org/10.3390/s26154916}
}RIS
TY - JOUR TI - An Energy-Efficient Hybrid LoRa–Wi-Fi Architecture for Real- Time Water Quality Monitoring and Machine Learning-Based Trend Forecasting AU - Jeya Sutha Mariadhason AU - Emerson Raja Joseph AU - Purushothaman Srinivasan AU - Ramesh Dhanaseelan Francis PY - 2026 JO - Sensors DO - 10.3390/s26154916 UR - https://doi.org/10.3390/s26154916 ER -
APA
Mariadhason, J. S., Joseph, E. R., Srinivasan, P., & Francis, R. D. (2026). An Energy-Efficient Hybrid LoRa–Wi-Fi Architecture for Real- Time Water Quality Monitoring and Machine Learning-Based Trend Forecasting. Sensors. https://doi.org/10.3390/s26154916
Source records
- crossref · retrieved 2026-11-10T08:49:21.665Z