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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 3 | Month- March 2026
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Published Paper Details:
Paper Title
Adaptive Operating System Framework Using Large Language Models
Authors
A Chandan Naidu, Mr. N Krishnavardhan
Keywords
Adaptive OS, LLM, Resource Management, AI Security, User Personalization
Abstract
This study explores the development of an Adaptive Operating System Framework utilizing Large Language Models (LLMs) for real-time resource management, user personalization, and system security. The study compares traditional operating system models with an adaptive AI-driven approach using predictive and self-optimizing mechanisms. Two models, the Classical Rule-Based OS Management and AI-Driven Adaptive OS Framework, are evaluated for their efficiency in dynamic resource allocation, security enhancements, and user experience improvements. A dataset of system performance metrics, user interaction logs, and security threats from 2019 to 2024 is analyzed using machine learning and statistical modeling.
IJCRT's Publication Details
Unique Identification Number - IJCRT25A3417
Paper ID - 281024
Page Number(s) - m316-m326
Pubished in - Volume 13 | Issue 3 | March 2025
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
A Chandan Naidu, Mr. N Krishnavardhan, "Adaptive Operating System Framework Using Large Language Models", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 3, pp.m316-m326, March 2025, Available at :http://www.ijcrt.org/papers/IJCRT25A3417.pdf
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Volume 14 | Issue 3
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March 2026
Volume 14 | Issue 3
Last Date :
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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