Zobrazeno 1 - 10
of 12
pro vyhledávání: '"D C Vinutha"'
Publikováno v:
Tele‐Healthcare. :1-26
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10bcd7a2dbc8cf20a3f955f22f666f58
https://doi.org/10.1002/9781119841937.ch1
https://doi.org/10.1002/9781119841937.ch1
Publikováno v:
International journal of health sciences. :5912-5927
The medical image phenomenon may be a developing and progressive field these days. The processing of MRI images differs between parts of this field. This paper presents an economical approach for identifying tumors in brain MRI imageries. The process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29b9157d83b43d4f209bd1543141156c
https://doi.org/10.53730/ijhs.v6ns2.6531
https://doi.org/10.53730/ijhs.v6ns2.6531
Publikováno v:
International journal of health sciences. :5973-5982
Recent years have seen an upsurge in the acceptance of illness diagnosis and prediction utilizing ML algorithms. A ML model can be employed in the diagnosis of breast cancer illness. In this research, an effective breast cancer prediction model with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14b64a596e9386beee961f38f2af3c7a
https://doi.org/10.53730/ijhs.v6ns1.6218
https://doi.org/10.53730/ijhs.v6ns1.6218
Publikováno v:
Bulletin of Electrical Engineering and Informatics. 10:3501-3506
Irrelevant feature in heart disease dataset affects the performance of binary classification model. Consequently, eliminating irrelevant and redundant feature (s) from training set with feature selection algorithm significantly improves the performan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::232c42abcc5c6854ef2d7c5da4182304
https://doi.org/10.11591/eei.v10i6.3001
https://doi.org/10.11591/eei.v10i6.3001
Autor:
G. T. Raju, D. C. Vinutha
Publikováno v:
SN Computer Science. 2
Over the past few years, data production has increased significantly due to the growth of Internet-dependent technologies. Big data allows for an evolving paradigm change in data discovery and use. Big data is processed using MapReduce framework in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac362766b96cc90f903a4ccb125c0f73
https://doi.org/10.1007/s42979-021-00638-0
https://doi.org/10.1007/s42979-021-00638-0
Autor:
D. C. Vinutha, N. Vignesh
Publikováno v:
Computational Vision and Bio-Inspired Computing ISBN: 9783030372170
Agriculture is one of the most important occupations carried out by centuries - old people. Agriculture is our nation’s backbone occupation. This is actually the occupation that fulfills the people’s food needs. In this paper, we examine certain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2db8d02eb8ea9916916e6837d919eaf1
https://doi.org/10.1007/978-3-030-37218-7_27
https://doi.org/10.1007/978-3-030-37218-7_27
Autor:
G T Raju, D C Vinutha
Publikováno v:
2019 International Conference on Communication and Electronics Systems (ICCES).
MapReduce is a popular programming model used for handling Big Data in a Distributed computing Environment. Hadoop is popularly used for short jobs and desires a comparatively low response time. During shuffling phase, large volume of data generated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ae5a4fc8098594eeb09a74a33eb60f0
https://doi.org/10.1109/icces45898.2019.9002560
https://doi.org/10.1109/icces45898.2019.9002560
Autor:
D C Vinutha, G T Raju
Publikováno v:
2019 1st International Conference on Advances in Information Technology (ICAIT).
Hadoop is an open source framework to implement MapReduce. It stores and processes the data in distributed, highly scalable, parallel and fault tolerant environment. Job scheduling shows a significant role in optimizing the functioning of Hadoop. Had
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8daa55887208f457b09f0425e7d2e73f
https://doi.org/10.1109/icait47043.2019.8987236
https://doi.org/10.1109/icait47043.2019.8987236
Autor:
D C Vinutha, G T Raju
Publikováno v:
2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS).
Hadoop is an open source implementation of MapReduce. Performance of Hadoop is affected by the overhead of communication during the transmission of large datasets to the computing node. In a heterogeneous cluster if a map task wants to process the da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb85fd94d3d42405658ca2c888440f64
https://doi.org/10.1109/icaccs.2019.8728373
https://doi.org/10.1109/icaccs.2019.8728373
Autor:
D C Vinutha, G T Raju
Publikováno v:
2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE).
Hadoop is a MapReduce open source implementation [1]. In homogeneous environment MapReduce can complete the parallel computing without major obstacles. load imbalance in the cluster is caused by heterogeneous nodes. We propose a dynamic load balancin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8444fa4b4ade5758cb3e9e7e11cad254
https://doi.org/10.1109/icatiece45860.2019.9063832
https://doi.org/10.1109/icatiece45860.2019.9063832