πŸ“„
An adaptive pig face recognition approach using Convolutional Neural Networks paper by Independent / Community
⭐ 70.5
πŸ“„
Paper

An adaptive pig face recognition approach using Convolutional Neural Networks

by Independent / Community 0073204cb6dee32a9f9671881dc6ff646b899eec
Free2AITools Nexus Index
70.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 88
P: Popularity 65
R: Recency 100
Q: Quality 65
Tech Context
Vital Performance —

Abstract The evolution of agriculture towards intensive farming leads to an increasing demand for animal identification associated with high traceability, driven by the need for quality control and welfare management in agricultural animals. Automatic identification of individual animals is an important step to achieve individualised care in terms of disease detection and control, and improvement of the food quality. For example, as feeding patterns can differ amongst pigs in the same pen, ev...

Source β†’
Semantic Scholar 140 Citations
Paper Information Summary
Entity Passport
Registry ID 0073204cb6dee32a9f9671881dc6ff646b899eec
License ArXiv
Provider semantic_scholar
πŸ“œ

Cite this paper

Academic & Research Attribution

BibTeX 
@misc{0073204cb6dee32a9f9671881dc6ff646b899eec,
  author = {Unknown},
  title = {An adaptive pig face recognition approach using Convolutional Neural Networks Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/0073204cb6dee32a9f9671881dc6ff646b899eec}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). An adaptive pig face recognition approach using Convolutional Neural Networks [Paper]. Free2AITools. https://api.semanticscholar.org/0073204cb6dee32a9f9671881dc6ff646b899eec

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 88
Popularity (P) 65
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for An adaptive pig face recognition approach using Convolutional Neural Networks: Authority (A:88), Popularity (P:65), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data

πŸ“ Executive Summary

"Abstract The evolution of agriculture towards intensive farming leads to an increasing demand for animal identification associated with high traceability, driven by the need for quality control and welfare management in agricultural animals. Automatic identification of individual animals is an important step to achieve individualised care in terms of disease detection and control, and improvement of the food quality. For example, as feeding patterns can differ amongst pigs in the same pen, ev..."

❝ Cite Node 

@article{Unknown2026An,
  title={An adaptive pig face recognition approach using Convolutional Neural Networks},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

πŸ”— Full Paper

Free2AITools indexes the abstract and factual metadata for this paper. Read the complete, authoritative paper on the official source.

Read the full paper on arXiv

πŸ“Š Research Signals

πŸ“ˆ140CitationsSemantic Scholar
πŸ›οΈ88AuthorityFNI pillar
⏱️100RecencyFNI pillar
βœ…65QualityFNI pillar
πŸ—‚οΈtext generationField
πŸ“¦Data Source: semantic_scholar
πŸ”„ Updated daily

Source summary: Based on semantic_scholar metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Paper Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

source
semantic_scholar
author
Unknown
license
ArXiv
tags
paper, research, academic

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

πŸ“Š Engagement & Metrics

downloads
0
stars
null
forks
null
citations
140

Data indexed from public sources. Updated daily.