πŸ“„
At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives paper by Independent / Community
⭐ 70.9
πŸ“„
Paper

At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives

by Independent / Community 00044a527a0642b08f385cda845331f0fc8cbbfd
Free2AITools Nexus Index
70.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 88
P: Popularity 66
R: Recency 100
Q: Quality 65
Tech Context
Vital Performance —

Given its advantages in low latency, fast response, context-aware services, mobility, and privacy preservation, edge computing has emerged as the key support for intelligent applications and 5G/6G Internet of things (IoT) networks. This technology extends the cloud by providing intermediate services at the edge of the network and improving the quality of service for latency-sensitive applications. Many AI-based solutions with machine learning, deep learning, and swarm intelligence have exhibi...

Source β†’
Semantic Scholar 187 Citations
Paper Information Summary
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Registry ID 00044a527a0642b08f385cda845331f0fc8cbbfd
License ArXiv
Provider semantic_scholar
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Cite this paper

Academic & Research Attribution

BibTeX 
@misc{00044a527a0642b08f385cda845331f0fc8cbbfd,
  author = {Unknown},
  title = {At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/00044a527a0642b08f385cda845331f0fc8cbbfd}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives [Paper]. Free2AITools. https://api.semanticscholar.org/00044a527a0642b08f385cda845331f0fc8cbbfd

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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) 66
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives: Authority (A:88), Popularity (P:66), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

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HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
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πŸ“ Executive Summary

"Given its advantages in low latency, fast response, context-aware services, mobility, and privacy preservation, edge computing has emerged as the key support for intelligent applications and 5G/6G Internet of things (IoT) networks. This technology extends the cloud by providing intermediate services at the edge of the network and improving the quality of service for latency-sensitive applications. Many AI-based solutions with machine learning, deep learning, and swarm intelligence have exhibi..."

❝ Cite Node 

@article{Unknown2026At,
  title={At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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πŸ“Š Research Signals

πŸ“ˆ187CitationsSemantic Scholar
πŸ›οΈ88AuthorityFNI pillar
⏱️100RecencyFNI pillar
βœ…65QualityFNI pillar
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πŸ“¦Data Source: semantic_scholar
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πŸ†” Identity & Source

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

βš™οΈ Technical Specs

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null
params billions
null
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null
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citations
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