Zobrazeno 1 - 9
of 9
pro vyhledávání: '"S. H. Krishnaveni"'
Publikováno v:
Multimedia Systems. 28:643-657
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4941f244b6e1e49afb51d729c57c3f8
https://doi.org/10.1007/s00530-021-00863-w
https://doi.org/10.1007/s00530-021-00863-w
Autor:
S. H. Krishnaveni, M. B. Jayalekshmi
Publikováno v:
Indian Journal of Science and Technology. 8:1-5
Cloud Computing is defined as an environment in which users can share their resources with others in pay per use model. The resources are stored centrally and can access from anywhere. Despite these advantages, there still exist significant issues th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce09d4630b15eb746fec31e90aa51055
https://doi.org/10.17485/ijst/2015/v8i24/84229
https://doi.org/10.17485/ijst/2015/v8i24/84229
Autor:
Y. Jeya Sheela, S. H. Krishnaveni
Publikováno v:
2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT).
Data mining deals with large voluminous data. Classification of data is an important task in data mining process that extracts models for describing classes and predicts target class for data instances. Today several standard classifiers are availabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ccd6e065fa210695782aeffec70c370
https://doi.org/10.1109/iccpct.2017.8074403
https://doi.org/10.1109/iccpct.2017.8074403
Publikováno v:
International Journal of Computer Applications. 70:7-10
ABTRACT A novel integrated approach for resolving the effect of illumination changes on face recognition is proposed. This face recognition system comprises feature extraction, feature selection and recognition. For feature extraction, a normal shrin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::370e75de4f6409e85502234f85c19628
https://doi.org/10.5120/11940-7733
https://doi.org/10.5120/11940-7733
Autor:
S. H. Krishnaveni, S. Divya
Publikováno v:
2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT).
The Mobile ad-hoc network do not take any static infrastructure and they depend on their neighbors to convey message. The mobile nodules can travel all over the network in an unrestricted fashion. Unlike wired networks, there is no fixed and committe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::436423e80fd6a22a5a2f33623f3f6c83
https://doi.org/10.1109/iccpct.2016.7530314
https://doi.org/10.1109/iccpct.2016.7530314
Autor:
M. Anugraha, S. H. Krishnaveni
Publikováno v:
2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT).
A Mobile Ad hoc Network is a self-organized network. The nodes which are within its radio range can have a direct communication if not it use an intermediate node for transmitting data. In MANET the nodes are wireless and fully distributed but they d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1bf2d52cf9ced62dc565687681915e8
https://doi.org/10.1109/iccpct.2016.7530315
https://doi.org/10.1109/iccpct.2016.7530315
Publikováno v:
Proceedings of the International Conference on Soft Computing Systems ISBN: 9788132226727
In the current technology evolution of various applications of data mining requires efficiency which can be achieved in various ways by improving the steps of the data mining techniques. Current research shows a wide opening in the step that uses dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17913aefd9fbf85a68f86756bd64dc97
https://doi.org/10.1007/978-81-322-2674-1_69
https://doi.org/10.1007/978-81-322-2674-1_69
Autor:
S. H. Krishnaveni, Y. Jeya Sheela
Publikováno v:
Indian Journal of Science and Technology. 8
In the current trend, development of various applications of Data mining gains much importance. Data mining is a process of extracting interesting, advantageous and understandable patterns from huge databases. Mining Association rules from large data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed67cb307bc123d7eee3a19ba8733c28
https://doi.org/10.17485/ijst/2015/v8i24/80157
https://doi.org/10.17485/ijst/2015/v8i24/80157
Autor:
S H Krishnaveni, Deena S Mary
Publikováno v:
2012 International Conference on Computing, Electronics and Electrical Technologies (ICCEET).
This paper presents a proficient method for extracting the HLAC-like features. Different masks from 2D-monochrome image sequences will be used for extracting the features. The Mutual Information Quotient (MIQ) is the basis for selecting the most rele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29bf0db972202c16548f23f37df2c860
https://doi.org/10.1109/icceet.2012.6203849
https://doi.org/10.1109/icceet.2012.6203849