Author:
Pantawane Rinkesh,Jyoti Amlan,Sheoran Sangeeta,Uikey Yogeshwar,Sonarkar Shivali,Thakare Rajesh
Publisher
Springer Nature Singapore
Reference9 articles.
1. Santosh, C., Kulat, K.D., Thakare, R.: A significance of VLSI techniques for low power real-time systems. Int. J. Comput. Appl. 1 (2010). http://doi.org/10.5120/437-666
2. Gupta, S., Kulkarni, M., Kulkarni, Y.: Smart saline monitoring system using load cell and RF sensor. Int. Res. J. Eng. Technol. (IRJET) 05(06) (2018)
3. Amritha Ashok, K., et al.: Hospital assistance robots control strategy and machine learning technology. In: Bianchini, M., Simic, M., Ghosh, A., Shaw, R.N. (eds.) Machine Learning for Robotics Applications. Studies in Computational Intelligence, vol. 960. Springer, Singapore (2021). http://doi.org/10.1007/978-981-16-0598-7_3
4. Ghosh, D., Agrawal, A., Prakash, N., Goyal, P.: Smart saline level monitoring system using ESP32 and MQTT-S. In: 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom), pp. 1–5 (2018). http://doi.org/10.1109/HealthCom.2018.8531172
5. Gaikwad, V., Rathod, A., Ringe, P., Patil, V., Brigade, D.: Intelligent saline monitoring system. Int. J. Innov. Sci. Res. Technol. (IJISRT) 4(5), 341–343 (2019). www.ijisrt.com. ISSN 2456-2165
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Smart Healthcare AI-Infused Saline Monitoring System with IoT- Empirical Study;Lecture Notes in Networks and Systems;2024
2. GSM Enabled Patient Monitoring System Using Arduino Application for Cardiac Support;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023