Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Sivachitra Muthusamy"'
Autor:
Sakthi Periasamy, Uma Jegadeesan, Kiruthika Sundaramoorthi, Tanniru Rajeswari, Venkata Naga Baji Tokala, Sumanta Bhattacharya, Sivachitra Muthusamy, Martin Sankoh, Manoj Kumar Nellore
Publikováno v:
Journal of Nanomaterials. 2022:1-10
Nanotechnology is emerging with the biosynthesis of silver nanoparticles which is toxic free and friendly with the environment. Out of all the biosynthesis methods, plant extracts are more predominantly used which is readily available, and it is a le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f5adb154e031ed89a5402d39255a3f5
https://doi.org/10.1155/2022/8123854
https://doi.org/10.1155/2022/8123854
Publikováno v:
GEDRAG & ORGANISATIE REVIEW. 33
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01aa5149f4defc98702cc21f315dcc53
https://doi.org/10.37896/gor33.02/101
https://doi.org/10.37896/gor33.02/101
Autor:
Sivachitra Muthusamy, Vijayachitra S
Publikováno v:
Applied Soft Computing. 33:328-336
In this paper, a sequential learning based meta-cognitive fully complex valued functional link network (Mc-FCFLN) is developed for solving complex real world problems. Mc-FCFLN network consists of two components: a cognitive component and a meta-cogn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f269affcadec62cde173b8d5a796fbaa
https://doi.org/10.1016/j.asoc.2015.04.022
https://doi.org/10.1016/j.asoc.2015.04.022
Autor:
Savitha Ramasamy, Sivachitra Muthusamy
Publikováno v:
2016 Second International Conference on Cognitive Computing and Information Processing (CCIP).
Prediction of post-surgery survival of breast cancer patients is critical for long term medical care. In this paper, we study the performances of several complex-valued classifiers in predicting the post-surgical survival, based on the real world Hab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c6ee32e91bd9ceebab8ec8615c626b8
https://doi.org/10.1109/ccip.2016.7802856
https://doi.org/10.1109/ccip.2016.7802856
Autor:
Vijayachitra S, Sivachitra Muthusamy
Publikováno v:
2015 International Conference on Cognitive Computing and Information Processing(CCIP).
In this paper, a Meta-cognitive Fully Complex Valued Functional Link predictor Network (Mc-FCFLNP) is developed for solving the complex practical problems. Mc-FCFLNP network contains two components, first, a cognitive and next a meta-cognitive compon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4a5e95d182f020bf9e7320f2a6121f5
https://doi.org/10.1109/ccip.2015.7100680
https://doi.org/10.1109/ccip.2015.7100680
Autor:
Vijayachitra S, Sivachitra Muthusamy
Publikováno v:
2015 International Conference on Cognitive Computing and Information Processing(CCIP).
Classification of Haberman's Survival information is useful to find out the patients survival probability after a breast cancer surgery. Dataset has been collected from a standard benchmark UCI machine learning repository. A study at the hospital nam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b49357c840875e266af1d59b0489bdc5
https://doi.org/10.1109/ccip.2015.7100717
https://doi.org/10.1109/ccip.2015.7100717
Autor:
Vijayachitra S, Sivachitra Muthusamy
Publikováno v:
2015 International Conference on Cognitive Computing and Information Processing(CCIP).
Most of the Brain Computer Interface (BCI) techniques use EEG signals as a main source. Any BCI system consists of three modules and they are signal recorder, signal preprocessor and classifier. Development /Selection of efficient classifiers are a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::674e017829a997c5c358afcf1d66a462
https://doi.org/10.1109/ccip.2015.7100718
https://doi.org/10.1109/ccip.2015.7100718
Autor:
Sivachitra Muthusamy, Vijayachitra S
Publikováno v:
2015 International Conference on Cognitive Computing and Information Processing(CCIP).
In this article, a Meta-cognitive Fully Complex-valued Fast Learning Classifier (Mc-FCFLC) for solving real-valued classification problems is presented. Mc-FCFLC consist of two components namely, a cognitive component and a meta-cognitive one. The co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::088c10401106de5a92e70134799f8c5a
https://doi.org/10.1109/ccip.2015.7100712
https://doi.org/10.1109/ccip.2015.7100712
Publikováno v:
2012 Fourth International Conference on Advanced Computing (ICoAC).
This paper applies the recently developed Meta-cognitive Fully Complex-valued Radial Basis Function (Mc-FCRBF) network for predicting the speed and direction of wind. Mc-FCRBF network contains two components: a cognitive component and a meta-cognitiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d8711efb1c2d0b266e33185fd6cecc2
https://doi.org/10.1109/icoac.2012.6416850
https://doi.org/10.1109/icoac.2012.6416850