JOURNAL ARTICLE

Intelligent Optimization Framework for Future Communication Networks using Machine Learning

Abstract

Confronting the undeniably complicated versatile correspondence organization, knowledge is the advancement heading of organization versatile improvement innovation later on. Portable correspondence information is a significant part representing things to come data society. AI calculation is embraced in the versatile improvement plot, which can facilitate different enhancement goals as per the progressions of climate and state and understand the ideal boundary arrangement. Canny portable terminal hardware is turning out to be increasingly well known. The combination and advancement of social, portable and area administrations make the conventional informal organization easily change to versatile correspondence organization. AI is a part of man-made consciousness. Its examination objective is to construct a framework which can advance a few guidelines from information and apply them to the resulting information handling. In light of chart hypothesis, this paper tackles the issue of correspondence network information really, and concentrates on the calculation of huge information examination in view of AI

Keywords:
Computer science Artificial intelligence Distributed computing Machine learning

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FWCI (Field Weighted Citation Impact)
11
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0.05
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Topics

IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Data and IoT Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Computing and Algorithms
Social Sciences →  Social Sciences →  Urban Studies
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