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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM13954

CIPHERING SUBSISTENCES OF ATTRIBUTES VIA INTRITATE NEURAL PORTRAIT

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM13954

Volume:

6 |

5 |

May 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM13954

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

JKM

JITHENDRA KUMAR M

HCJ

HEMACHANDRAN C J

JD

JASVANTH D

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Abstract

In the fast-moving world, the internet plays a vital role in part of every individual, business, and sector. So the internet is ruling nooks and corners of the world. The main goal is to provide quality internet services without any interruptions. As we can see the falling in internet signals or lost signals may affect each individual to a gigantic business. So to provide a signal in the correct strength can overcome the issue of the quality services on both customer and internet provider side. Here we are implementing a recommendation system to optimize the quality of service to the persons or sectors who are using the internet. This makes the service providers satisfy the customer and increase the business process further with the help of the recommendation system. Based on locations every time the signal differs according to the locations and hence when a customer confronts the signal issues, the service provider equalizes the query of the customer by providing the signal to the requested customer based on the location. By doing this, we are not only efficiently solving the problem of the customer but also increasing the customer counts by providing the quality of the internet providing services using the recommendation system.

KEYWORDS

Quality of Service Recommendation system DNN Service provider.

Cite This Article

JITHENDRA KUMAR M, HEMACHANDRAN C J, JASVANTH D, "CIPHERING SUBSISTENCES OF ATTRIBUTES VIA INTRITATE NEURAL PORTRAIT," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 5, May 2022. https://doi.org/10.55041/IJSREM13954

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Publication Date

5/29/2022

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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