A comprehensive overview of the applications of kernel functions and data-driven models in regression and classification tasks in the context of software sensors-Reference-Cited by-同舟云学术

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A comprehensive overview of the applications of kernel functions and data-driven models in regression and classification tasks in the context of software sensors

Published:2024-10 Issue: Volume:164 Page:111975
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Ngu Joyce Chen Yen,Yeo Wan Sieng^ORCID,Thien Teck Fu,Nandong Jobrun

Publisher

Elsevier BV

Reference170 articles.

1. Introduction to machine learning;Vieira,2020

2. Predicting the whiteness index of cotton fabric with a least squares model;Yeo;Cellulose,2021

3. The application of machine learning in nanoparticle treated water: a review;Ngu;MATEC Web Conf.,2023

4. Electrospun nanofiber membrane diameter prediction using a combined response surface methodology and machine learning approach;Pervez;Sci. Rep.,2023

5. Sustainable fashion: design of the experiment assisted machine learning for the environmental-friendly resin finishing of cotton fabric;Pervez;Heliyon,2023

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