Hybrid lightweight Signcryption scheme for IoT

Autor: Sruthi M., Rajasekaran Rajkumar

Publikováno v: Open Computer Science, Vol 11, Iss 1, Pp 391-398 (2021)

The information transmitted in IoT is susceptible to affect the user’s privacy, and hence the information ought to be transmitted securely. The conventional method to assure integrity, confidentiality, and non-repudiation is to first sign the messa

Externí odkaz: https://doaj.org/article/a2961c9132b94514bdfbb3579c5446b8

Real-world application of face mask detection system using YOLOv6

Autor: Rajasekaran Rajkumar, Rajeshkannan Regunathan, Jonathan Atrey

Publikováno v: International Journal of Critical Infrastructures. 20:1

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4174679ebc11f75383535d50f7be7760
https://doi.org/10.1504/ijcis.2024.10052165

Nonlinear control-based class-D amplifier for audio intelligent infrastructure applications

Autor: Joshi, Sridhar, Priscila, S. Silvia, Rajest, S. Suman, Srivastava, Kriti, Surendhar, S. Prasath Alias, Rajasekaran, Rajkumar

Publikováno v: International Journal of Critical Infrastructures; 2024, Vol. 20 Issue: 4 p309-328, 20p

Peer-to-Peer JXTA Architecture for Continuing Mobile Medical Education Incorporated in Rural Public Health Centers

Autor: Rajasekaran, Rajkumar, Sriman Narayana Iyengar, Nallani Chackravatula

Publikováno v: In Osong Public Health and Research Perspectives April 2013 4(2):99-106

Comparative Analysis of Machine Learning Algorithms for Stock Market Prediction During COVID-19 Outbreak

Autor: Masih, Jolly, Rajasekaran, Rajkumar, Saini, Neha, Kaur, Damandeep, Musleh Al-Sartawi, Abdalmuttaleb M., Razzaque, Anjum, Kamal, Muhammad Mustafa

Publikováno v: Artificial Intelligence Systems and the Internet of Things in the Digital Era ISBN: 9783030772451
Artificial Intelligence Systems and the Internet of Things in the Digital Era-Proceedings of EAMMIS 2021, 154-161
STARTPAGE=154;ENDPAGE=161;TITLE=Artificial Intelligence Systems and the Internet of Things in the Digital Era-Proceedings of EAMMIS 2021

In the current period of time, when there is a havoc across the world due to COVID-19 virus outbreak, it becomes very important to foresee the impact of this pandemic on the world economy. This has attracted us to analyze and predict the stock market

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::122d88f99c70dd301e17ebc92b19a81b
https://pure.eur.nl/en/publications/7b2ae7b8-ba6a-468d-aaf9-f17f0d7a7322