Zobrazeno 1 - 10 of 95 pro vyhledávání: '"T. Meyyappan"'
2
Earlier diagnosis of breast cancer using e- health file with hybrid machine learning algorithms
Autor: null P Priya, null T Meyyappan
Publikováno v: World Journal of Advanced Engineering Technology and Sciences. 7:212-219
Breast Cancer denotes the major disease which makes a high range of deaths worldwide. Earlier forecasting of breast cancer can help the breast cancer patients by improving their survival. Data mining methodologies and machine learning models are wide
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1e448e510140c6b74e1452b99ef96085
https://doi.org/10.30574/wjaets.2022.7.2.0163
Zobrazit plný text záznamu
6
Authentic secret share creation techniques using visual cryptography with public key encryption
Autor: M. Karolin, T. Meyyappan
Publikováno v: Multimedia Tools and Applications. 80:32023-32040
In the digital transparent world, share the secret messages are challenged one. Visual cryptography (VC) is safer method for information transfer without any distraction by hackers. It is giving more security to the information sharing through digita
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b3e34d7f1dcf0ff30e7bf830849b5434
https://doi.org/10.1007/s11042-021-11202-6
Zobrazit plný text záznamu
7
Employee Performance Prediction Using EPP Framework
Autor: M. Karthika, T. Meyyappan
Publikováno v: International Journal of Scientific Research in Computer Science, Engineering and Information Technology. :297-302
In the today's industrial world, every company’s growth is depends on their employees. The company achievements are completely based on the employees in the organization. The employees’ performances are measured by the targets and achievements. B
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::65957110849c0c94b6c96f23e57f8adb
https://doi.org/10.32628/cseit206654
Zobrazit plný text záznamu
9
Prediction of Individual’s Character in Social Media Using Contextual Semantic Sentiment Analysis
Autor: T. Meyyappan, Vallikannu Ramanathan
Publikováno v: Mobile Networks and Applications. 24:1763-1777
Sentiment analysis on social media has become most popular due to its extensive applications in both public and private sectors. We use twitter to know people’s opinion towards any topic. Predicting character of an individual is important for any o
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8a30e1add2239c94638172dbea794ce7
https://doi.org/10.1007/s11036-019-01388-3
Zobrazit plný text záznamu
10
Predicting Tamil Movies Sentimental Reviews Using Tamil Tweets
Autor: S. M. Thamarai, T. Meyyappan, Vallikannu Ramanathan
Publikováno v: Journal of Computer Science. 15:1638-1647
Recently people are more frequently using their mother tongue to express their opinion and view in the social media. Especially Indian languages are often used in social media messages. Tamil is one of the oldest language which has been used slightly
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2d244f5439545dd46f7f9d970bb5e6ea
https://doi.org/10.3844/jcssp.2019.1638.1647
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje