A Machine-Learning-Based Labelling Diversity Model for Predictive Analysis: Using 16QAM as a Case Study-Reference-Cited by-同舟云学术

A Machine-Learning-Based Labelling Diversity Model for Predictive Analysis: Using 16QAM as a Case Study

Author:

Solwa Shaheen¹,Elmezughi Mohamed K.¹^ORCID,Salih Omran²^ORCID,Almaktoof Ali M.³,Kahn M. T. E.³

Affiliation:

1. Discipline of Electrical, Electronic and Computer Engineering, University of KwaZulu-Natal, Durban, South Africa

2. Department of Mathematics and Computer Science, Alzaiem Alazhari University, Khartoum, Sudan

3. Department of Electrical, Electronic and Computer Engineering, Cape Peninsula University of Technology, Cape Town, South Africa

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference27 articles.

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