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Paper

Adaptive neuro-fuzzy inference system (ANFIS) approach for the irreversibility analysis of a domestic refrigerator system using LPG/TiO 2 nanolubricant

by Independent / Community 0034d06f29e70f5afe06a8b4f985af2c95e4c190
Free2AITools Nexus Index
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A: Authority 82
P: Popularity 57
R: Recency 100
Q: Quality 65
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Abstract This work presents an adaptive neuro-fuzzy inference system (ANFIS) artificial intelligence methodology of predicting the 2nd law efficiency and total irreversibility of a refrigeration system running on LPG/TiO 2 –nano-refrigerants. For this purpose, substractive clustering and grid partition approaches were utilized to train the ANFIS models required in estimating the 2nd law efficiency and total irreversibility using some experimental data. Furthermore, predictions of ANFIS models...

Semantic Scholar 29 Citations
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Registry ID 0034d06f29e70f5afe06a8b4f985af2c95e4c190
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BibTeX
@misc{0034d06f29e70f5afe06a8b4f985af2c95e4c190,
  author = {Unknown},
  title = {Adaptive neuro-fuzzy inference system (ANFIS) approach for the irreversibility analysis of a domestic refrigerator system using LPG/TiO 2 nanolubricant Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/0034d06f29e70f5afe06a8b4f985af2c95e4c190}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). Adaptive neuro-fuzzy inference system (ANFIS) approach for the irreversibility analysis of a domestic refrigerator system using LPG/TiO 2 nanolubricant [Paper]. Free2AITools. https://api.semanticscholar.org/0034d06f29e70f5afe06a8b4f985af2c95e4c190

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⚖️ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 82
Popularity (P) 57
Recency (R) 100
Quality (Q) 65

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FNI V2.0 for Adaptive neuro-fuzzy inference system (ANFIS) approach for the irreversibility analysis of a domestic refrigerator system using LPG/TiO 2 nanolubricant: Authority (A:82), Popularity (P:57), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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📝 Executive Summary

"Abstract This work presents an adaptive neuro-fuzzy inference system (ANFIS) artificial intelligence methodology of predicting the 2nd law efficiency and total irreversibility of a refrigeration system running on LPG/TiO 2 –nano-refrigerants. For this purpose, substractive clustering and grid partition approaches were utilized to train the ANFIS models required in estimating the 2nd law efficiency and total irreversibility using some experimental data. Furthermore, predictions of ANFIS models..."

Cite Node

@article{Unknown2026Adaptive,
  title={Adaptive neuro-fuzzy inference system (ANFIS) approach for the irreversibility analysis of a domestic refrigerator system using LPG/TiO 2 nanolubricant},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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📈29CitationsSemantic Scholar
🏛️82AuthorityFNI pillar
⏱️100RecencyFNI pillar
65QualityFNI pillar
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