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JTAP-01.10.2023

Journal of Theoretical and Applied Physics (JTAP)

Editor-in-Chief: Davoud Dorranian, PhD

Online ISSN: 2251-7235

Print ISSN: 2251-7227

Publishes Bimonthly

Original Article
A Comparative Study on Predicting the Characteristics of Plasma Activated Water: Artificial Neural Network (ANN) & Support Vector Regression (SVR)

In this paper, the applicability of the Machine Learning (ML) technique in predicting the structural characteristics of water exposed by the plasma discharge is studied. For this purpose, the structural characteristics of water including pH, Electrical Conductivity (EC), Oxidation Reduction Potential (ORP), Total Dissolved Solution (TDS), and salt is experimentally measured before and after exposing […]

JTAP-182448