EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 399 (2023) E3S Web Conf., 399 (2023) 04008 References
Open Access
Issue
E3S Web Conf.
Volume 399, 2023
International Conference on Newer Engineering Concepts and Technology (ICONNECT-2023)
Article Number 04008
Number of page(s) 9
Section Computer Science
DOI https://doi.org/10.1051/e3sconf/202339904008
Published online 12 July 2023
  1. Khan, Mohammad Monirujjaman and Mehnaz, Safia and Shaha, Antu and Nayem, Mohammed and Bourouis, Sami “IoT-Based Smart Health Monitoring System for COVID-19 Patients” In Computational and Mathematical Methods in Medicine, 2021, (2016). [Google Scholar]
  2. Banka, Shubham and Madan, Isha and Saranya, S.S. “Smart healthcare monitoring using IoT” In International Journal of Applied Engineering Research, 13, 15 (2018). [Google Scholar]
  3. Rahaman, Ashikur and Islam, Md Milon and Islam, Md Rashedul and Sadi, Muhammad Sheikh and Nooruddin, Sheikh “Developing IoT Based Smart Health Monitoring Systems: A Review” In Rev. d’Intelligence Artif, 13, 6, (2019). [Google Scholar]
  4. Srinivasan, P. and Khan, A. Ayub and Prabu, T. and Manoj, M. and Ranjan, M. and Karthik, K. “Heart beat sensor using fingertip through Arduino” In Journal of Critical Reviews, 7, 7 (2020). [Google Scholar]
  5. Tamilselvi, V. and Sribalaji, S. and Vigneshwaran, P. and Vinu, P. and GeethaRamani, J. “IoT based health monitoring system” In 2020 6th International conference on advanced computing and communication systems (ICACCS), 06-07 March 2020, Coimbatore, India (2020). [Google Scholar]
  6. S. H. Almotiri, M. A. Khan, and M. A. Alghamdi. Mobile health (m-health) system in the context of iot. In 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), 22-24 August 2016, Vienna, Austria (2016). [Google Scholar]
  7. P. Gupta, D. Agrawal, J. Chhabra, and P. K. Dhir. Iot based smart healthcare kit. In 2016 International Con ference on Computational Techniques in Information and Communication Technologies (ICCTICT), 11-13 March 2016, New Delhi, India (2016). [Google Scholar]
  8. Sankar Kumar S., Gayathri N., Nivedhitha D., Priyanka A.S. “A Cost effective Arduino Module for Bedridden patient’s Respiratory Monitor and Control” International Journal of advanced research trends in engineering and technology (IJARTET) VOL. II, SPECIAL ISSUE XXI, MARCH 2016. [Google Scholar]
  9. V. Akhila et al, International Journal of Research in Information Technology, 1, 1 (2017). [Google Scholar]
  10. S. Kiruthika, P. Sakthi, M. Kaviya, S. Vishnupriya, “Blood Bank Monitoring and Blood Identification System Using Iot Device”, Annals of R.S.C.B., 25, 6, (2021). [Google Scholar]
  11. S. Kiruthika, P. Sakthi, N. Gokul, G. Praveen Kumar, S. Praveenkumar, R. Prem, Monitoring Soil Quality and Fertigation System Using lot, Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12, 9, (2021). [Google Scholar]
  12. A. Manjunathan, E.D. Kanmani Ruby, W. Edwin Santhkumar, A. Vanathi, P. Jenopaul, S. Kannadhasan, “Wireless HART stack using multiprocessor technique with laxity algorithm”, Bulletin of Electrical Engineering and Informatics, 10, 6 (2021) [Google Scholar]
  13. M. Mathan, S. Kiruthika, G. Manoj Babu, Ramkumar “Smart Glucose Drip Bottle With Patient Monitoring System” in Journal Bioscience Biotechnolgy Research Communications, 13, 5, (2020). [Google Scholar]
  14. C. Jeyalakshmi, A. Manjunathan, A. Karthikram, T. Dineshkumar, W. Edwin Santhkumar, S. Kannadhasan, “Automatic Wireless Health Instructor for Schools and Colleges”, Bulletin of Electrical Engineering and Informatics, 11, 1 (2022) [CrossRef] [Google Scholar]
  15. Manjunathan Alagarsamy, Karthikram Anbalagan, Yuvaraja Thangavel, Jeevitha Sakkarai, Jenopaul Pauliah, Kannadhasan Suriyan, “Classification of covid patient image dataset using modified deep convolutional neural network system”, Bulletin of Electrical Engineering and Informatics, 11, 4 (2022). [Google Scholar]
  16. Selvaraj, V. et al. “Classification of COVID-19 patient based on multilayer perceptron neural networks optimized with garra rufa fish optimization using CT scan images”, International Journal of Pattern Recognition and Artificial Intelligence, 37, 6 (2023). [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.