Spatial Assessment of Solar Radiation by Machine Learning and Deep Neural Network Models Using Data Provided by the COMS MI Geostationary Satellite: A Case Study in South Korea

Research article (Sensors, 2019) · cited 44× · AI/ML
Press Enter · cited answer in seconds

Spatial Assessment of Solar Radiation by Machine Learning and Deep Neural Network Models Using Data Provided by the COMS MI Geostationary Satellite: A Case Study in South Korea

Summary

Spatial Assessment of Solar Radiation by Machine Learning and Deep Neural Network Models Using Data Provided by the COMS MI Geostationary Satellite: A Case Study in South Korea is a scholarly article[1].

Key Facts

  • Spatial Assessment of Solar Radiation by Machine Learning and Deep Neural Network Models Using Data Provided by the COMS MI Geostationary Satellite: A Case Study in South Korea's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Spatial Assessment of Solar Radiation by Machine Learning and Deep Neural Network Models Using Data Provided by the COMS MI Geostationary Satellite: A Case Study in South Korea. Retrieved May 24, 2026, from https://4ort.xyz/entity/spatial-assessment-of-solar-radiation-by-machine-learning-and-deep-neural-network-models-using-data-provided-by-the-coms
MLA “Spatial Assessment of Solar Radiation by Machine Learning and Deep Neural Network Models Using Data Provided by the COMS MI Geostationary Satellite: A Case Study in South Korea.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/spatial-assessment-of-solar-radiation-by-machine-learning-and-deep-neural-network-models-using-data-provided-by-the-coms.
BibTeX @misc{4ortxyz_spatial-assessment-of-solar-radiation-by-machine-learning-and-deep-neural-network-models-using-data-provided-by-the-coms_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Spatial Assessment of Solar Radiation by Machine Learning and Deep Neural Network Models Using Data Provided by the COMS MI Geostationary Satellite: A Case Study in South Korea}}, year = {2026}, url = {https://4ort.xyz/entity/spatial-assessment-of-solar-radiation-by-machine-learning-and-deep-neural-network-models-using-data-provided-by-the-coms}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Spatial Assessment of Solar Radiation by Machine Learning and Deep Neural Network Models Using Data Provided by the COMS MI Geostationary Satellite: A Case Study in South Korea — https://4ort.xyz/entity/spatial-assessment-of-solar-radiation-by-machine-learning-and-deep-neural-network-models-using-data-provided-by-the-coms (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/spatial-assessment-of-solar-radiation-by-machine-learning-and-deep-neural-network-models-using-data-provided-by-the-coms · Last refreshed: