Výsledky vyhledávání - "S. Jayaprada"

RETRACTED: Fast Hybrid Adaboost Binary Classifier For Brain Tumor Classification

Autor: G. JayaLakshmi, L. KanyaKumari, S. Jayaprada

Publikováno v: IOP Conference Series: Materials Science and Engineering. 1074:012016

The brain tumor is a dangerous disease and its characterization is a difficult undertaking for radiologists in light of the heterogeneous idea of the tumor cells. Computer-Aided tasks and its implementation of the current models with their frameworks

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e3acbf4274b250b47aff825282d72acd
https://doi.org/10.1088/1757-899x/1074/1/012016

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Effect of modulated photoactivation of bulkfill composite on microleakage in fluorosed and nonfluorosed teeth: A confocal laser scanning microscopy study

Autor: S Jayaprada Reddy, P Sarathchandra, P Rajani, JN Krishna Muppalla, V Harikumar

Publikováno v: Journal of Conservative Dentistry : JCD

Aim: The aim of this study is to compare the microleakage of bulkfill composite activated by modulated photoactivation between fluorosed and nonfluorosed teeth using the confocal laser scanning microscope. Methodology: One hundred and twenty intact h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4b61f08648aa67f8a9913c2ef8dc676
https://doi.org/10.4103/jcd.jcd_112_20

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Akademický článek

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A New Hybrid Approach for Document Clustering Using Tabu Search and Particle Swarm Optimization (TSPSO)

Autor: T. Haribabu, S. Jayaprada

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9788132225256

Clustering of text documents is the quickest developing research area, because of the availability of vast amount of information in an electronic form. To solve this document cluster analysis difficulties more efficiently and quickly, this paper prop

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::18622b4ccf703ccd78c033d224577734
https://doi.org/10.1007/978-81-322-2526-3_63

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A Secure and Optimal Data Clustering Technique over Distributed Networks

Autor: S. Jayaprada, M. Yogita Bala

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783319137278

Clustering is an automatic learning technique aimed at grouping a set of objects into subsets or clusters. The goal is to create clusters that are coherent internally, but substantially different from each other. Privacy is an important factor while

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::199c1ffeb7a35cf0d60d95f271d0bf73
https://doi.org/10.1007/978-3-319-13728-5_19

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VizSFP: A visualizer for semantically similar frequent patterns in Dynamic Datasets

Autor: S. Vasavi, P. Bala Krishna Prasad, S. Jayaprada, I. Ramesh Babu

Publikováno v: 2014 IEEE International Advance Computing Conference (IACC).

Frequent pattern mining is an important area in data mining. Transactional databases are insufficient to analyze current shopping trends and as such we should consider Dynamic Datasets that updates transactions in an adhoc basis. Algorithms such as A

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f59ecd39f6281ca0efce563b156f04d6
https://doi.org/10.1109/iadcc.2014.6779361

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