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pro vyhledávání: '"Kulandairaj, Martin Sagayam"'
Autor:
Hatıra Günerhan, Hadi Rezazadeh, Waleed Adel, Mohammad Hatami, Kulandairaj Martin Sagayam, Homan Emadifar, Muhammad Imran Asjad, Faraidun K Hamasalh, Ahmed A Hamoud
Publikováno v:
Advances in Mechanical Engineering, Vol 14 (2022)
In this paper, the fractional smoking epidemic model is presented. The model is presented in terms of Caputo’s fractional derivation. The fractional differential transformation method (FDTM) is presented to find an approximate analytical solution t
Externí odkaz:
https://doaj.org/article/845c03e44e144b838cb2bfa15c75d9bf
Autor:
Priyanka, E. B., Thangavel, S., Kulandairaj, Martin Sagayam, Wahab, Mohd Helmy Abd, Fadilah, Suzi Iryanti
Publikováno v:
AIP Conference Proceedings; 2023, Vol. 2564 Issue 1, p1-7, 7p
Akademický článek
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Autor:
Balashanmugam, Thiyaneswaran, Sengottaiyan, Kumarganesh, Kulandairaj, Martin Sagayam, Dang, Hien
Publikováno v:
IET Image Processing (Wiley-Blackwell); Jan2023, Vol. 17 Issue 1, p227-238, 12p
There are a growing number of challenges in handling medical data in order to provide an effective healthcare service in real-time. Bridging the gap between patient expectations and their experiences needs effective collaboration and connectivity acr
Cognitive radio sensor network (CRSN) is known as a distributed network of wireless cognitive radio sensor nodes. Such a system senses an event signal and ensures collaborative dynamic communication processes over the spectrum bands. Here the concept
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc8222551774d954d96cd7cfdcfe8bd1
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/87859
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/87859
Autor:
Kulandairaj Martin Sagayam, R. V. Belfin, Sudhakar Selvam, Ahmed A. Elngar, E. Kirubakaran, B. L. Radhakrishnan
Publikováno v:
International Journal of Intelligent Engineering Informatics. 9:193
India implemented a prolonged lockdown to contain the spread of COVID-19. Our study aimed to assess the mental health difficulties and influence of lockdown stressors among Indian higher education students' and employees of the government, private se