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Machine Learning in Manufacturing: Processes Classification Using Support Vector Machine and Horse Optimization Algorithm paper by Independent / Community
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Paper

Machine Learning in Manufacturing: Processes Classification Using Support Vector Machine and Horse Optimization Algorithm

by Independent / Community 000b53134b805be72e269cd79463dff4fd59d9f7
Free2AITools Nexus Index
64.3
S: Semantic 50

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A: Authority 73
P: Popularity 48
R: Recency 100
Q: Quality 65
Tech Context
Vital Performance —

The classification of the manufacturing processes in processes that pass the in-line testing and processes that fail the in-line testing is a challenging research problem as the manufacturing processes data is characterized by many features that correspond to the different steps of the manufacturing processes. This research article proposes a method in which: (1) the manufacturing processes classification is performed using the Support Vector Machine (SVM) algorithm, (2) the regularization pa...

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Semantic Scholar 6 Citations
Paper Information Summary
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Registry ID 000b53134b805be72e269cd79463dff4fd59d9f7
License ArXiv
Provider semantic_scholar
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Cite this paper

Academic & Research Attribution

BibTeX 
@misc{000b53134b805be72e269cd79463dff4fd59d9f7,
  author = {Unknown},
  title = {Machine Learning in Manufacturing: Processes Classification Using Support Vector Machine and Horse Optimization Algorithm Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/000b53134b805be72e269cd79463dff4fd59d9f7}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). Machine Learning in Manufacturing: Processes Classification Using Support Vector Machine and Horse Optimization Algorithm [Paper]. Free2AITools. https://api.semanticscholar.org/000b53134b805be72e269cd79463dff4fd59d9f7

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βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 73
Popularity (P) 48
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Machine Learning in Manufacturing: Processes Classification Using Support Vector Machine and Horse Optimization Algorithm: Authority (A:73), Popularity (P:48), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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πŸ“ Executive Summary

"The classification of the manufacturing processes in processes that pass the in-line testing and processes that fail the in-line testing is a challenging research problem as the manufacturing processes data is characterized by many features that correspond to the different steps of the manufacturing processes. This research article proposes a method in which: (1) the manufacturing processes classification is performed using the Support Vector Machine (SVM) algorithm, (2) the regularization pa..."

❝ Cite Node 

@article{Unknown2026Machine,
  title={Machine Learning in Manufacturing: Processes Classification Using Support Vector Machine and Horse Optimization Algorithm},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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πŸ“Š Research Signals

πŸ“ˆ6CitationsSemantic Scholar
πŸ›οΈ73AuthorityFNI pillar
⏱️100RecencyFNI pillar
βœ…65QualityFNI pillar
πŸ—‚οΈknowledge retrievalField

🏷️ Research Topics

vector databases
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semantic_scholar
author
Unknown
license
ArXiv
tags
paper, research, academic

βš™οΈ Technical Specs

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params billions
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