Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Prediction of Gas Turbine Trip: A Novel Methodology Based on Random Forest Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-gas-turbine-trip-a-novel-methodology-based-on-random-forest-models
MLA“Prediction of Gas Turbine Trip: A Novel Methodology Based on Random Forest Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-gas-turbine-trip-a-novel-methodology-based-on-random-forest-models.
BibTeX@misc{4ortxyz_prediction-of-gas-turbine-trip-a-novel-methodology-based-on-random-forest-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of Gas Turbine Trip: A Novel Methodology Based on Random Forest Models}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-gas-turbine-trip-a-novel-methodology-based-on-random-forest-models}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of Gas Turbine Trip: A Novel Methodology Based on Random Forest Models — https://4ort.xyz/entity/prediction-of-gas-turbine-trip-a-novel-methodology-based-on-random-forest-models (retrieved 2026-05-24)
