Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Machine Learning Techniques of Contact Aware Communication System: A Comprehensive Overview

Version 1 : Received: 17 March 2021 / Approved: 18 March 2021 / Online: 18 March 2021 (13:20:00 CET)

How to cite: Shahzad, M.; Hussain, K.; Qureshi, M.A.; Zahoor, F. Machine Learning Techniques of Contact Aware Communication System: A Comprehensive Overview. Preprints 2021, 2021030486 (doi: 10.20944/preprints202103.0486.v1). Shahzad, M.; Hussain, K.; Qureshi, M.A.; Zahoor, F. Machine Learning Techniques of Contact Aware Communication System: A Comprehensive Overview. Preprints 2021, 2021030486 (doi: 10.20944/preprints202103.0486.v1).

Abstract

Machine Learning (ML) and Artificial Intelligence(AI) have revolutionized almost all fields that are linked to the acquisition of intelligent behavior in the real world. It is an attractive alternative for a researcher of artificial intelligence. Contrary to rule-based programming, ML is an algorithmic approach in which learning comes from existing data. The more data we have these computer systems look at, we say we’re ‘training’ the computer system, and as the computers begin to identify patterns in the data, identify abnormalities in the data from these abnormalities we improve the system architect according to the requirement. This article introduces the use of comprehensive concepts of machine learning, in general, particular, and their potential applications in communications. Furthermore, the current state and futuristic potentials of enabling universal communication with implications of machine learning methods have been explained. In this review paper, we offer a comprehensive talk on distinctive methods/techniques of information analytics, artificial intelligence (AI), and machine learning (ML) moved forward the contact aware communication system.

Subject Areas

Machine Learning; Next Generation;Contact Aware; Communication System; Machine-type Communications

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