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pro vyhledávání: '"D. Shanthi Saravanan"'
Autor:
R. Reshmi, D. Shanthi Saravanan
Publikováno v:
Soft Computing. 24:15307-15315
In today’s world, most of the applications run with the service of cloud computing, which proceeds the process using the internet. In the case of cloud computing, based on customer needs, they may increase or decrease resource utilization. Virtuali
Autor:
R. Reshmi, D. Shanthi Saravanan
Publikováno v:
Soft Computing. 27:1221-1221
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811553998
Consequently, verifying the cloud from the botnet is required for keeping the administrations from different assaults, for example, distributed denial of service (DDoS), spreading malware and hacking of private data. To identifiy botnet and furthermo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9667cb33bc2f7d9918d6129a64daf259
https://doi.org/10.1007/978-981-15-5400-1_18
https://doi.org/10.1007/978-981-15-5400-1_18
Publikováno v:
Journal of Computational and Theoretical Nanoscience. 14:3291-3295
Publikováno v:
Circuits and Systems. :434-445
Discrete cosine transform (DCT) is frequently used in image and video signal processing due to its high energy compaction property. Humans are able to perceive and identify the information from slightly erroneous images. It is enough to produce appro
Publikováno v:
Biomedical Signal Processing and Control. 56:101708
EEG analysis is a responsible device in assessing the neurophysiological disorders associated to the postsynaptic movement happened in the neocortex. In detecting the epileptic seizure disorder, the EEG signals of the patient are diagnosed. In this a
Publikováno v:
International Journal of Grid and High Performance Computing. 6:28-45
With the advent of High Performance Computing (HPC) in the large-scale parallel computational environment, better job scheduling and resource allocation techniques are required to deliver Quality of Service (QoS). Therefore, job scheduling on a large
With the advent of High Performance Computing (HPC) in the large-scale parallel computational environment, better job scheduling and resource allocation techniques are required to deliver Quality of Service (QoS). Therefore, job scheduling on a large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0bccb00e074f06a327d79ed0cea237b
https://doi.org/10.4018/978-1-4666-9562-7.ch089
https://doi.org/10.4018/978-1-4666-9562-7.ch089
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