Home ›
Entities
› academia
› Benchmarking on railway safety performance using Bayesian inference, decision tree and petri-net techniques based on long-term accidental data sets
Benchmarking on railway safety performance using Bayesian inference, decision tree and petri-net techniques based on long-term accidental data sets
Research article (Reliability Engineering & System Safety, 2021) · cited 49× · AI/ML
Benchmarking on railway safety performance using Bayesian inference, decision tree and petri-net techniques based on long-term accidental data sets
Summary
Benchmarking on railway safety performance using Bayesian inference, decision tree and petri-net techniques based on long-term accidental data sets is a scholarly article[1].
Key Facts
Benchmarking on railway safety performance using Bayesian inference, decision tree and petri-net techniques based on long-term accidental data sets's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Benchmarking on railway safety performance using Bayesian inference, decision tree and petri-net techniques based on long-term accidental data sets. Retrieved May 24, 2026, from https://4ort.xyz/entity/benchmarking-on-railway-safety-performance-using-bayesian-inference-decision-tree-and-petri-net-techniques-based-on-long
MLA“Benchmarking on railway safety performance using Bayesian inference, decision tree and petri-net techniques based on long-term accidental data sets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/benchmarking-on-railway-safety-performance-using-bayesian-inference-decision-tree-and-petri-net-techniques-based-on-long.
BibTeX@misc{4ortxyz_benchmarking-on-railway-safety-performance-using-bayesian-inference-decision-tree-and-petri-net-techniques-based-on-long_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Benchmarking on railway safety performance using Bayesian inference, decision tree and petri-net techniques based on long-term accidental data sets}}, year = {2026}, url = {https://4ort.xyz/entity/benchmarking-on-railway-safety-performance-using-bayesian-inference-decision-tree-and-petri-net-techniques-based-on-long}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Benchmarking on railway safety performance using Bayesian inference, decision tree and petri-net techniques based on long-term accidental data sets — https://4ort.xyz/entity/benchmarking-on-railway-safety-performance-using-bayesian-inference-decision-tree-and-petri-net-techniques-based-on-long (retrieved 2026-05-24)