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of 59
pro vyhledávání: '"H. Srimathi"'
Autor:
H Srimathi
Publikováno v:
Journal of Advanced Research in Dynamical and Control Systems. 12:393-398
Autor:
H. Srimathi, D. Hemavathi
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 12:3679-3688
Dataset have various number of features. Feature extraction plays a crucial job in recognition and extraction of most useful data from the dataset. Appropriate mining method must be performed in order to remove the required information from the datas
Autor:
D. Hemavathi, H. Srimathi
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:535-535
Publikováno v:
Inventive Computation Technologies ISBN: 9783030338459
Selection of relevant features is a significant technique in the real time applications. It constitutes a number of data related to the ever-augmenting domains like financial organization, education etc. For recognition of relevant features, the resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5253228ad50f7e8d7a0bbb4761ffd081
https://doi.org/10.1007/978-3-030-33846-6_53
https://doi.org/10.1007/978-3-030-33846-6_53
Publikováno v:
AIP Conference Proceedings.
People are surrounded by tons of Big Data and in fact, the rate at which big data is being generated these days is phenomenal. Every digital process and social media is contributing to the already present vast amount of Big Data. Systems, sensors and
Publikováno v:
AIP Conference Proceedings.
Cloud provides massive datacenters with variety of computing elements, storage devices that handles broad range of applications accessed through Internet. More number of computing devices is handled by scalability. In cloud environment scalability is
Autor:
H. Srimathi, R. Anuranji
Publikováno v:
Digital Signal Processing. 102:102729
Recently, large scale video content retrieval has gained more attention due to a large amount of user-generated images and video content available over the internet. Hashing is one of the effective techniques that encode the high dimensional features
Publikováno v:
International Conference on Computer Networks and Communication Technologies ISBN: 9789811086809
Shared computing resources in a pool enable various services that accessed over Internet for storing large company data. It has reduced the cost and infrastructural needs but there is a concern for data safety and integrity. The existing remote data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f40ee26c2c1a2868d82f8f04701aa81e
https://doi.org/10.1007/978-981-10-8681-6_26
https://doi.org/10.1007/978-981-10-8681-6_26
Autor:
D. Hemavathi, H. Srimathi
Publikováno v:
2017 International Conference on Intelligent Computing and Control Systems (ICICCS).
The main purpose of this paper is to provide an exhaustive analysis of different techniques available for handling the data failures in big data analytics. This article surveys different failure handling methods available for streaming data and asses
Publikováno v:
Indian Journal of Science and Technology. 9
Objectives: Dynamic assignment of tasks to different VM in cloud datacenter and Load-Balancing by migration of tasks from an Overloaded VM to Candidate VM. Methods/Statistical Analysis: Particle Swarm Optimization (PSO) algorithm is used finding each