Paper Title

CYBERNATICS IN ARTIFICIAL INTELLIGENCE (A NEW WAY TO ARRANGE DATA IN STORAGE SYSTEM)

Article Identifiers

Registration ID: IJNRD_199129

Published ID: IJNRD2306215

DOI: Click Here to Get

Authors

BHANU PRATAP SINGH , AJAY SINGH , DR. PUSHPNEEL VERMA

Keywords

Abstract

This is an idea of processing & arranging the data that allow a system to store the data in a hard drive or any type of storage system that allow a user to access the large data into the specific manner, this simplified method store the data as well as helpful in finding the data when we need it, & also it will increase the speed of system file accessing module to Reduce the time, effort, & also reduce many threads, for better efficiency. This process will gain speed as well as reduces noise from data, or also reduce the chance of data redundancy. Most of the system or processes & processor using electromagnetic technology to active or de-active the transistor, capacitor or electrodes to store the data, this will reduce the multiple technology dependency based on the particular system to reduce the time or faster store the data whenever you want.

How To Cite (APA)

BHANU PRATAP SINGH, AJAY SINGH, & DR. PUSHPNEEL VERMA (June-2023). CYBERNATICS IN ARTIFICIAL INTELLIGENCE (A NEW WAY TO ARRANGE DATA IN STORAGE SYSTEM). INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(6), c109-c112. https://ijnrd.org/papers/IJNRD2306215.pdf

Issue

Volume 8 Issue 6, June-2023

Pages : c109-c112

Other Publication Details

Paper Reg. ID: IJNRD_199129

Published Paper Id: IJNRD2306215

Downloads: 000121985

Research Area: Computer Science & Technology 

Country: dhampur/Bijnor, uttar pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2306215.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2306215

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

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