Author:
Kumar S. Harish,Kanish T. C.
Publisher
Springer Science and Business Media LLC
Reference78 articles.
1. Abraham, S., & Li, X. (2014). A cost-effective wireless sensor network system for indoor air quality monitoring applications. Procedia Computer Science, 34, 165–171.
2. Ahn, J., Shin, D., Kim, K., & Yang, J. (2017). Indoor air quality analysis using deep learning with sensor data (2017). Sensors, 17(11), 2476. https://doi.org/10.3390/s17112476
3. Al-Ali, A. R., Zualkernan, I., & Aloul, F. (2010). A mobile GPRS-sensors array for air pollution monitoring. IEEE Sensors Journal, 10(10), 1666–1671.
4. Al Barakeh, Z., Breuil, P., Redon, N., Pijolat, C., Locoge, N., & Viricelle, J. P. (2017). Development of a normalized multi-sensors system for low cost on-line atmospheric pollution detection. Sensors and Actuators B: Chemical, 241, 1235–1243.
5. Alhmiedat, T., & Samara, G. (2017). A low cost ZigBee sensor network architecture for indoor air quality monitoring. arXiv preprint arXiv:1712.04190