Zobrazeno 1 - 10
of 35
pro vyhledávání: '"K. Kavin Kumar"'
Autor:
Anguraj Kandasamy, Saravanakumar Rengarasu, Praveen Kitti Burri, Satheeshkumar Palanisamy, K. Kavin Kumar, Aruna Devi Baladhandapani, Samson Alemayehu Mamo
Publikováno v:
Advances in Materials Science and Engineering, Vol 2022 (2022)
A pentaband antenna is presented based on the conducting copper material printed on an FR4 substrate for the applications operating in the Gigahertz frequencies. The antenna has a substrate material with a dielectric constant of 4.4. The conducting c
Externí odkaz:
https://doaj.org/article/4c1c12bff3754b83aa4fc409f8a16bf5
Publikováno v:
International Journal of Pervasive Computing and Communications, 2020, Vol. 18, Issue 5, pp. 563-572.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJPCC-10-2020-0169
Autor:
K. Kavin Kumar, P. M. Dinesh, P. Rayavel, L. Vijayaraja, R. Dhanasekar, Rupa Kesavan, Kannadasan Raju, Arfat Ahmad Khan, Chitapong Wechtaisong, Mohd Anul Haq, Zamil S. Alzamil, Ahmed Alhussen
Publikováno v:
Computer Systems Science and Engineering. 46:1845-1861
Publikováno v:
ECS Transactions. 107:12841-12850
Cardiovascular disease (CVD) has emerged as one of the major health problem all over the world. In this study, statistical analysis is performed to identify the association of diabetes, cholesterol, hypertension, obesity, sex, and age with CVDs. A to
Publikováno v:
Journal of Physics: Conference Series. 2466:012021
In current decades, employing clinical imagery analysis to automatically segregate exudates from color fundus pictures has proven to be a difficult endeavor. This paper compares the efficacy of several picture delineation techniques using a Raspberry
Publikováno v:
International Journal of Medical Engineering and Informatics. 1:1
Publikováno v:
Proceedings of the International Conference on Cognitive and Intelligent Computing ISBN: 9789811923494
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::677149c7e44042a55ac89c3e85eeb03c
https://doi.org/10.1007/978-981-19-2350-0_27
https://doi.org/10.1007/978-981-19-2350-0_27
Publikováno v:
2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA).
Publikováno v:
International Journal of Pervasive Computing and Communications
Purpose The purpose of the study is to highlight the potential of the sensor based smartphone in assessing the covid-19 cases. Coronavirus disease 2019 (COVID-19) is a noxious pandemic affecting the respiratory system of the human and leading to the
An Efficient Method for Brain Tumor Detection Using Texture Features and SVM Classifier in MR Images
Publikováno v:
Asian Pacific Journal of Cancer Prevention : APJCP
Objective: Detection and classification of abnormalities in Magnetic Resonance (MR) brain images in medical field is very much needed. The proposed brain tumor classification system composed of denoising, feature extraction and classification. Noise