Zobrazeno 1 - 10
of 85
pro vyhledávání: '"K.P., Sridhar"'
Publikováno v:
In Results in Engineering June 2024 22
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 4, Pp 102644- (2024)
Wireless Sensor Networks (WSNs) which plays a crucial role in data transmission in today’s digital era faces various types of research challenges due to limited energy constraints in sensor nodes. This study introduces a Machine Learning-based Ener
Externí odkaz:
https://doaj.org/article/cbc88984ad004325b1ec4a125664bbce
Publikováno v:
Alexandria Engineering Journal, Vol 83, Iss , Pp 53-65 (2023)
Wireless Sensor Networks (WSNs) are widely studied for their data collection and monitoring capabilities across diverse applications. However, the limited energy resources of sensor nodes present a significant challenge in extending the network's lif
Externí odkaz:
https://doaj.org/article/02e4ecef2fe84fcb821ac85941d33a90
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 44:2927-2941
A smart healthcare network can use sensors and the Internet of Things (IoT) to enhance patient care while decreasing healthcare expenditures. It has become more difficult for healthcare providers to keep track and analyze the massive amounts of data
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Experimental Techniques. 46:993-1006
Publikováno v:
Materials Today: Proceedings. 42:804-809
Autor:
Justin Varghese, Saudia Subash, K.P. Sridhar, Gopalakrishnan Ashok Kumar, Narayanasamy Venkattaramanujam Balaji
Publikováno v:
IET Image Processing. 14:2869-2878
The study introduces an adaptive switching interpolation filter (ASIF) for restoring images contaminated with salt & pepper impulse noise. The new method restores noisy pixels by applying a new interpolation scheme that combines Shepard's inverse dis
Publikováno v:
IET Image Processing. 14:1529-1538
Periodic noise corrupts digital images during acquisition and transmission stages by adding repetitive patterns. This study introduces a new adaptive Gaussian notch filter (AGNF) in Fourier transform domain for effectively restoring images contaminat
Publikováno v:
The Open Biomedical Engineering Journal. 13:103-113
Background:Around 1% of the total population in the world suffers from epilepsy, a central nervous system disorder. Epilepsy is the neurological disorder of the human brain which can affect people of all ages. Classification techniques and Signal pro