Zobrazeno 1 - 10 of 18 pro vyhledávání: '"I., Manimozhi"'
1
Akademický článek
Optimizing double-layered convolutional neural networks for efficient lung cancer classification through hyperparameter optimization and advanced image pre-processing techniques
Autor: M. Mohamed Musthafa, I. Manimozhi, T. R. Mahesh, Suresh Guluwadi
Publikováno v: BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-21 (2024)
Abstract Lung cancer remains a leading cause of cancer-related mortality globally, with prognosis significantly dependent on early-stage detection. Traditional diagnostic methods, though effective, often face challenges regarding accuracy, early dete
Externí odkaz: https://doaj.org/article/86b8515502e64edaa9f95d610ed1d595
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2
Akademický článek
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3
Public Key Encryption With Equality Test for Industrial Internet of Things Based on Near-Ring
Autor: Tharun Karthikeyan, I Manimozhi, V. Muthukumaran, P V Praveen Sundar, Magesh Gopu
Publikováno v: International Journal of e-Collaboration. 17:25-45
Organizations have moved from the conventional industries to smart industries by embracing the approach of industrial internet of things (IIoT), which has provided an avenue for the integration of smart devices and communication technologies. In this
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::99413f51739d8ae71ed0c716868c0284
https://doi.org/10.4018/ijec.2021070102
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4
An Efficient Translation of Tulu to Kannada South Indian Scripts using Optical Character Recognition
Autor: I. Manimozhi, Manoj Challa
Publikováno v: 2021 5th International Conference on Computing Methodologies and Communication (ICCMC).
Tulu script is not used to write the Tulu language, as it uses the Kannada script for documentation. As Tulu is not an official language of Karnataka, most people are unaware of this language. The Tulu-speaking people are larger in number than speake
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aaf5ac5d0a213d7b261e8410f043a69a
https://doi.org/10.1109/iccmc51019.2021.9418225
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5
Defect detection in pattern texture analysis using improved support vector machine
Autor: I. Manimozhi, S. Janakiraman
Publikováno v: Cluster Computing. 22:15223-15230
The detection of abnormalities is a very challenging problem in computer vision. In our proposed method designed for detecting the defect of pattern texture analysis. The preprocessing input image features are extracted using the Gray level co-occurr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::33d8863b11d0fc0d97089365098218a1
https://doi.org/10.1007/s10586-018-2551-y
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6
Akademický článek
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8
Periodical
Public Key Encryption With Equality Test for Industrial Internet of Things Based on Near-Ring
Autor: V., Muthukumaran, I., Manimozhi, V., Praveen Sundar P., T., Karthikeyan, Gopu, Magesh
Publikováno v: International Journal of e-Collaboration; July 2021, Vol. 17 Issue: 3 p25-45, 21p
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10
An efficient approach for Defect Detection in Texture analysis using Improved Support Vector Machine
Autor: I. Manimozhi, S. Janakiraman
Publikováno v: International Journal of Business Intelligence and Data Mining. 1:1
Texture defect detection can be defined as the process of determining the location and size of the collection pixels in a textured image which deviate in their intensity values or spatial in compression to a background texture. The detection of abnor
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b2c1a5aebcd3bf8750713fb9baa340bb
https://doi.org/10.1504/ijbidm.2019.10018937
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