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Prediction of the Electrical Strength and Boiling Temperature of the Substitutes for Greenhouse Gas SF₆ Using Neural Network and Random Forest
Research article (IEEE Access, 2020) · cited 34× · AI/ML
Prediction of the Electrical Strength and Boiling Temperature of the Substitutes for Greenhouse Gas SF₆ Using Neural Network and Random Forest
Summary
Prediction of the Electrical Strength and Boiling Temperature of the Substitutes for Greenhouse Gas SF₆ Using Neural Network and Random Forest is a scholarly article[1].
Key Facts
Prediction of the Electrical Strength and Boiling Temperature of the Substitutes for Greenhouse Gas SF₆ Using Neural Network and Random Forest's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Prediction of the Electrical Strength and Boiling Temperature of the Substitutes for Greenhouse Gas SF₆ Using Neural Network and Random Forest. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-the-electrical-strength-and-boiling-temperature-of-the-substitutes-for-greenhouse-gas-sf6-using-neural-net
MLA“Prediction of the Electrical Strength and Boiling Temperature of the Substitutes for Greenhouse Gas SF₆ Using Neural Network and Random Forest.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-the-electrical-strength-and-boiling-temperature-of-the-substitutes-for-greenhouse-gas-sf6-using-neural-net.
BibTeX@misc{4ortxyz_prediction-of-the-electrical-strength-and-boiling-temperature-of-the-substitutes-for-greenhouse-gas-sf6-using-neural-net_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of the Electrical Strength and Boiling Temperature of the Substitutes for Greenhouse Gas SF₆ Using Neural Network and Random Forest}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-the-electrical-strength-and-boiling-temperature-of-the-substitutes-for-greenhouse-gas-sf6-using-neural-net}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of the Electrical Strength and Boiling Temperature of the Substitutes for Greenhouse Gas SF₆ Using Neural Network and Random Forest — https://4ort.xyz/entity/prediction-of-the-electrical-strength-and-boiling-temperature-of-the-substitutes-for-greenhouse-gas-sf6-using-neural-net (retrieved 2026-05-24)
