Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Hybrid Modeling of Cutting Forces in Turning of Engineering Polymers Using Kienzle Approach and Data Augmentation-Enhanced Random Forest Algorithm

Saved in:
Bibliographic Details
Published in:International Scientific and Vocational Studies Journal
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1868757103346188288
collection WordPress RSS
FRELIP Feed Integration
container_title International Scientific and Vocational Studies Journal
description
discipline_display Business and Economics
discipline_facet Business and Economics
format Online Article
RSS Article
genre Journal Article
id rss_article:94838
institution FRELIP
journal_source_facet International Scientific and Vocational Studies Journal
last_indexed 2026-06-23T03:34:12.665Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Hybrid Modeling of Cutting Forces in Turning of Engineering Polymers Using Kienzle Approach and Data Augmentation-Enhanced Random Forest Algorithm
Business and Economics
General
Business and Economics
sub_discipline_display General
sub_discipline_facet General
subject_display Business and Economics
General
Business and Economics
subject_facet Business and Economics
General
Business and Economics
title Hybrid Modeling of Cutting Forces in Turning of Engineering Polymers Using Kienzle Approach and Data Augmentation-Enhanced Random Forest Algorithm
title_alt Modelado híbrido de fuerzas de corte en torneado de polímeros de ingeniería utilizando el enfoque de Kienzle y algoritmo de bosque aleatorio mejorado con aumento de datos
Modélisation hybride des forces de coupe dans le tournage de polymères techniques utilisant l'approche de Kienzle et l'algorithme de forêt aléatoire amélioré par augmentation de données
Modelagem Híbrida de Forças de Corte no Torneamento de Polímeros de Engenharia Usando Abordagem de Kienzle e Algoritmo Random Forest Aprimorado por Aumento de Dados
title_auth Hybrid Modeling of Cutting Forces in Turning of Engineering Polymers Using Kienzle Approach and Data Augmentation-Enhanced Random Forest Algorithm
title_es_txt Modelado híbrido de fuerzas de corte en torneado de polímeros de ingeniería utilizando el enfoque de Kienzle y algoritmo de bosque aleatorio mejorado con aumento de datos
title_fr_txt Modélisation hybride des forces de coupe dans le tournage de polymères techniques utilisant l'approche de Kienzle et l'algorithme de forêt aléatoire amélioré par augmentation de données
title_full Hybrid Modeling of Cutting Forces in Turning of Engineering Polymers Using Kienzle Approach and Data Augmentation-Enhanced Random Forest Algorithm
title_fullStr Hybrid Modeling of Cutting Forces in Turning of Engineering Polymers Using Kienzle Approach and Data Augmentation-Enhanced Random Forest Algorithm
title_full_unstemmed Hybrid Modeling of Cutting Forces in Turning of Engineering Polymers Using Kienzle Approach and Data Augmentation-Enhanced Random Forest Algorithm
title_pt_txt Modelagem Híbrida de Forças de Corte no Torneamento de Polímeros de Engenharia Usando Abordagem de Kienzle e Algoritmo Random Forest Aprimorado por Aumento de Dados
title_short Hybrid Modeling of Cutting Forces in Turning of Engineering Polymers Using Kienzle Approach and Data Augmentation-Enhanced Random Forest Algorithm
title_sort hybrid modeling of cutting forces in turning of engineering polymers using kienzle approach and data augmentation-enhanced random forest algorithm
topic Business and Economics
General
Business and Economics
url https://dergipark.org.tr/en/pub/bilmes/article/1912992%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20