Home ›
Entities
› academia
› Empirical radio propagation model for DTV applied to non-homogeneous paths and different climates using machine learning techniques
Empirical radio propagation model for DTV applied to non-homogeneous paths and different climates using machine learning techniques
Research article (PLoS ONE, 2018) · cited 19× · AI/ML
Empirical radio propagation model for DTV applied to non-homogeneous paths and different climates using machine learning techniques
Summary
Empirical radio propagation model for DTV applied to non-homogeneous paths and different climates using machine learning techniques is a scholarly article[1].
Key Facts
Empirical radio propagation model for DTV applied to non-homogeneous paths and different climates using machine learning techniques'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). Empirical radio propagation model for DTV applied to non-homogeneous paths and different climates using machine learning techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/empirical-radio-propagation-model-for-dtv-applied-to-non-homogeneous-paths-and-different-climates-using-machine-learning
MLA“Empirical radio propagation model for DTV applied to non-homogeneous paths and different climates using machine learning techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/empirical-radio-propagation-model-for-dtv-applied-to-non-homogeneous-paths-and-different-climates-using-machine-learning.
BibTeX@misc{4ortxyz_empirical-radio-propagation-model-for-dtv-applied-to-non-homogeneous-paths-and-different-climates-using-machine-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Empirical radio propagation model for DTV applied to non-homogeneous paths and different climates using machine learning techniques}}, year = {2026}, url = {https://4ort.xyz/entity/empirical-radio-propagation-model-for-dtv-applied-to-non-homogeneous-paths-and-different-climates-using-machine-learning}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Empirical radio propagation model for DTV applied to non-homogeneous paths and different climates using machine learning techniques — https://4ort.xyz/entity/empirical-radio-propagation-model-for-dtv-applied-to-non-homogeneous-paths-and-different-climates-using-machine-learning (retrieved 2026-05-24)
