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Paper

Review on machine and deep learning models for the detection and prediction of Coronavirus

by Independent / Community 002ee699d7a0ea6a44a8d80f8f9b38cf0e793f8f

Free2AITools Nexus Index

70.1

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 86

P: Popularity 63

R: Recency 100

Q: Quality 65

Tech Context

Vital Performance —

The novel Coronavirus disease has increased rapidly in the Wuhan city of China in December 2019. This fatal virus has spread across the whole world like a fire in different stages and affecting millions of population and thousands of deaths worldwide. Therefore, it is essential to classify the infected people, so that they can take the precaution in the earlier stages. Also, due to the increasing cases spread of Coronavirus, there are only limited numbers of polymerase change reaction kits av...

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Semantic Scholar 101 Citations

Paper Information Summary
Entity Passport
Registry ID	002ee699d7a0ea6a44a8d80f8f9b38cf0e793f8f
License	ArXiv
Provider	semantic_scholar

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Cite this paper

Academic & Research Attribution

BibTeX

@misc{002ee699d7a0ea6a44a8d80f8f9b38cf0e793f8f,
  author = {Unknown},
  title = {Review on machine and deep learning models for the detection and prediction of Coronavirus Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/002ee699d7a0ea6a44a8d80f8f9b38cf0e793f8f}},
  note = {Accessed via Free2AITools.}
}

APA Style

Unknown. (2026). Review on machine and deep learning models for the detection and prediction of Coronavirus [Paper]. Free2AITools. https://api.semanticscholar.org/002ee699d7a0ea6a44a8d80f8f9b38cf0e793f8f

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 86

Popularity (P) 63

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Review on machine and deep learning models for the detection and prediction of Coronavirus: Authority (A:86), Popularity (P:63), 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

📝 Executive Summary

"The novel Coronavirus disease has increased rapidly in the Wuhan city of China in December 2019. This fatal virus has spread across the whole world like a fire in different stages and affecting millions of population and thousands of deaths worldwide. Therefore, it is essential to classify the infected people, so that they can take the precaution in the earlier stages. Also, due to the increasing cases spread of Coronavirus, there are only limited numbers of polymerase change reaction kits av..."

❝ Cite Node

@article{Unknown2026Review,
  title={Review on machine and deep learning models for the detection and prediction of Coronavirus},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

🔗 Full Paper

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Read the full paper on arXiv

📊 Research Signals

📈101CitationsSemantic Scholar

🏛️86AuthorityFNI pillar

⏱️100RecencyFNI pillar

✅65QualityFNI pillar

🗂️text generationField

📦Data Source: semantic_scholar

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

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🛡️ Paper Transparency Report

Technical metadata sourced from upstream repositories.

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🆔 Identity & Source

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

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag

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downloads: 0
stars: null
forks: null
citations: 101

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