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pro vyhledávání: '"C.M. Sujatha"'
Publikováno v:
2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET).
Akademický článek
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Publikováno v:
Journal of Computational Methods in Sciences and Engineering. 19:499-506
Publikováno v:
Journal of Physics: Conference Series. 2318:012017
Cardiovascular disorder is a primary cause of mortality throughout the world in both developed and underdeveloped countries. Continuous cardiac monitoring enables clinicians to identify arrhythmias and other heart conditions. Tele-cardiology introduc
Autor:
J. Abhinand, C.M. Sujatha
Publikováno v:
International Journal of Electronics Signals and Systems. :10-13
The distortion and inter symbol interference caused by multipath effects of channel degrades the quality of signal transmission in transmission system of digital baseband. Adaptive channel equalization is used commonly to compensate these effects so
Publikováno v:
Journal of Medical Systems. 40
Automated analysis and differentiation of mild cognitive impairment and Alzheimer's condition using MR images is clinically significant in dementic disorder. Alzheimer's Disease (AD) is a fatal and common form of dementia that progressively affects t
Publikováno v:
Technology and health care : official journal of the European Society for Engineering and Medicine. 23(4)
Background: Breast thermography is a potential imaging method for the early detection of breast cancer. The pathological conditions can be determined by measuring temperature variations in the abnormal breast regions. Accurate delineation of breast t
Publikováno v:
2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES).
In the proposed work, Multilevel Tsallis entropy is employed to segment side scan SONAR images. Bilevel thresholding detects only the object whereas Multilevel thresholding detects both object and its shadow in a given image. Shadow detection provide
Publikováno v:
2015 IEEE Underwater Technology (UT).
In the present work, Particle swarm optimisation (PSO) based Tsallis entropy method is employed to segment the buried object SONAR images. This SONAR detects the objects present beneath the seabed in ocean. Objects may be pipelines, and unexploded or
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9788132221258
In the proposed work, particle swarm optimization (PSO) is employed to enhance SONAR images in spatial domain. A transformation function is used with the local and global data of the image to enhance the image based on PSO. The objective function con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74f2b95d6ff57c945dd188b0f4a00656
https://doi.org/10.1007/978-81-322-2126-5_57
https://doi.org/10.1007/978-81-322-2126-5_57