Performances of machine learning algorithms for individual thermal comfort prediction based on data from professional and practical settings

Research article (Journal of Building Engineering, 2022) · cited 42× · AI/ML
Press Enter · cited answer in seconds

Performances of machine learning algorithms for individual thermal comfort prediction based on data from professional and practical settings

Summary

Performances of machine learning algorithms for individual thermal comfort prediction based on data from professional and practical settings is a scholarly article[1].

Key Facts

  • Performances of machine learning algorithms for individual thermal comfort prediction based on data from professional and practical settings'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). Performances of machine learning algorithms for individual thermal comfort prediction based on data from professional and practical settings. Retrieved May 24, 2026, from https://4ort.xyz/entity/performances-of-machine-learning-algorithms-for-individual-thermal-comfort-prediction-based-on-data-from-professional-an
MLA “Performances of machine learning algorithms for individual thermal comfort prediction based on data from professional and practical settings.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/performances-of-machine-learning-algorithms-for-individual-thermal-comfort-prediction-based-on-data-from-professional-an.
BibTeX @misc{4ortxyz_performances-of-machine-learning-algorithms-for-individual-thermal-comfort-prediction-based-on-data-from-professional-an_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Performances of machine learning algorithms for individual thermal comfort prediction based on data from professional and practical settings}}, year = {2026}, url = {https://4ort.xyz/entity/performances-of-machine-learning-algorithms-for-individual-thermal-comfort-prediction-based-on-data-from-professional-an}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Performances of machine learning algorithms for individual thermal comfort prediction based on data from professional and practical settings — https://4ort.xyz/entity/performances-of-machine-learning-algorithms-for-individual-thermal-comfort-prediction-based-on-data-from-professional-an (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/performances-of-machine-learning-algorithms-for-individual-thermal-comfort-prediction-based-on-data-from-professional-an · Last refreshed: