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Car hacking identification through fuzzy logic algorithms

Research article (2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017) · cited 99× · AI/ML
academia openalex:W2746620120
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Car hacking identification through fuzzy logic algorithms

Summary

Car hacking identification through fuzzy logic algorithms is a scholarly article[1].

Key Facts

  • Car hacking identification through fuzzy logic algorithms's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Car hacking identification through fuzzy logic algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/car-hacking-identification-through-fuzzy-logic-algorithms
MLA “Car hacking identification through fuzzy logic algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/car-hacking-identification-through-fuzzy-logic-algorithms.
BibTeX @misc{4ortxyz_car-hacking-identification-through-fuzzy-logic-algorithms_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Car hacking identification through fuzzy logic algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/car-hacking-identification-through-fuzzy-logic-algorithms}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Car hacking identification through fuzzy logic algorithms — https://4ort.xyz/entity/car-hacking-identification-through-fuzzy-logic-algorithms (retrieved 2026-05-24)

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