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Cite this DOI

10.46243/jst.2022.v7.i09.pp0117-134 · A SUMMARY OF CLOUD COMPUTING FOR DEVELOPING THE PROCESS OF E-LEARNING

APA (7th edition)

Dr. KOPARTHI SURESH, D. K. S. (2022). A SUMMARY OF CLOUD COMPUTING FOR DEVELOPING THE PROCESS OF E-LEARNING. *Journal of Science & Technology*, *7*(9), 117–134. https://doi.org/10.46243/jst.2022.v7.i09.pp0117-134

⬇ text Italics are shown as *asterisks* in plain text — the journal or book title and the volume.

BibTeX

@article{drkoparthisuresh2022summary,
  author    = {Dr. KOPARTHI SURESH, Dr. KOPARTHI SURESH},
  title     = {{A SUMMARY OF CLOUD COMPUTING FOR DEVELOPING THE PROCESS OF E-LEARNING}},
  journal   = {Journal of Science \& Technology},
  year      = {2022},
  month     = {may},
  volume    = {7},
  number    = {9},
  pages     = {117--134},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2022.v7.i09.pp0117-134},
  url       = {https://doi.org/10.46243/jst.2022.v7.i09.pp0117-134},
  language  = {en},
  abstract  = {Online communication platforms are used to support e -learning, a kind of virtualized computing, and remote learning as a tool in the teaching -learning process. In the last two years, e -learning platforms have grown significantly. When the learning process is digitized, data mining for education information processing leverages information produced from internet databases to improve the educational learning paradigm for educational purposes. A potential platform for enabling e -learning systems is cloud compu ting. By offering a scalable solution for long -term transformation of computer resource use, it may be automatically changed. When engaging with large e-learning datasets, it is also easier to employ data mining methods in a distributed setting. The resear ch offers an overview of cloud computing's present condition as well as illustrations of infrastructure that has been specifically created for a system like this. It also talks about e -learning techniques and cloud computing demonstrations}
}

⬇ .bib

RIS (EndNote, Zotero, Mendeley)

TY  - JOUR
TI  - A SUMMARY OF CLOUD COMPUTING FOR DEVELOPING THE PROCESS OF E-LEARNING
AU  - Dr. KOPARTHI SURESH, Dr. KOPARTHI SURESH
JO  - Journal of Science & Technology
PY  - 2022
DA  - 2022/05/11/
VL  - 7
IS  - 9
SP  - 117
EP  - 134
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - Online communication platforms are used to support e -learning, a kind of virtualized computing, and remote learning as a tool in the teaching -learning process. In the last two years, e -learning platforms have grown significantly. When the learning process is digitized, data mining for education information processing leverages information produced from internet databases to improve the educational learning paradigm for educational purposes. A potential platform for enabling e -learning systems is cloud compu ting. By offering a scalable solution for long -term transformation of computer resource use, it may be automatically changed. When engaging with large e-learning datasets, it is also easier to employ data mining methods in a distributed setting. The resear ch offers an overview of cloud computing's present condition as well as illustrations of infrastructure that has been specifically created for a system like this. It also talks about e -learning techniques and cloud computing demonstrations
DO  - 10.46243/jst.2022.v7.i09.pp0117-134
UR  - https://doi.org/10.46243/jst.2022.v7.i09.pp0117-134
ER  -

⬇ .ris

CSL-JSON

{
    "type": "article-journal",
    "id": "10.46243/jst.2022.v7.i09.pp0117-134",
    "DOI": "10.46243/jst.2022.v7.i09.pp0117-134",
    "URL": "https://doi.org/10.46243/jst.2022.v7.i09.pp0117-134",
    "title": "A SUMMARY OF CLOUD COMPUTING FOR DEVELOPING THE PROCESS OF E-LEARNING",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
        {
            "family": "Dr. KOPARTHI SURESH",
            "given": "Dr. KOPARTHI SURESH"
        }
    ],
    "issued": {
        "date-parts": [
            [
                2022,
                5,
                11
            ]
        ]
    },
    "volume": "7",
    "issue": "9",
    "page": "117-134",
    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "Online communication platforms are used to support e -learning, a kind of virtualized computing, and remote learning as a tool in the teaching -learning process. In the last two years, e -learning platforms have grown significantly. When the learning process is digitized, data mining for education information processing leverages information produced from internet databases to improve the educational learning paradigm for educational purposes. A potential platform for enabling e -learning systems is cloud compu ting. By offering a scalable solution for long -term transformation of computer resource use, it may be automatically changed. When engaging with large e-learning datasets, it is also easier to employ data mining methods in a distributed setting. The resear ch offers an overview of cloud computing's present condition as well as illustrations of infrastructure that has been specifically created for a system like this. It also talks about e -learning techniques and cloud computing demonstrations",
    "ISSN": "2456-5660"
}

⬇ .json What citeproc and reference managers read; the DOI system hands it out for Accept: application/vnd.citationstyles.csl+json, and so does this registry's resolver.

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