Home ›
Entities
› academia
› Domain adaptation deep learning and its T-S diagnosis networks for the cross-control and cross-condition scenarios in data center HVAC systems
Domain adaptation deep learning and its T-S diagnosis networks for the cross-control and cross-condition scenarios in data center HVAC systems
Research article (Energy, 2023) · cited 25× · AI/ML
Domain adaptation deep learning and its T-S diagnosis networks for the cross-control and cross-condition scenarios in data center HVAC systems
Summary
Domain adaptation deep learning and its T-S diagnosis networks for the cross-control and cross-condition scenarios in data center HVAC systems is a scholarly article[1].
Key Facts
Domain adaptation deep learning and its T-S diagnosis networks for the cross-control and cross-condition scenarios in data center HVAC systems'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). Domain adaptation deep learning and its T-S diagnosis networks for the cross-control and cross-condition scenarios in data center HVAC systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/domain-adaptation-deep-learning-and-its-t-s-diagnosis-networks-for-the-cross-control-and-cross-condition-scenarios-in-da
MLA“Domain adaptation deep learning and its T-S diagnosis networks for the cross-control and cross-condition scenarios in data center HVAC systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/domain-adaptation-deep-learning-and-its-t-s-diagnosis-networks-for-the-cross-control-and-cross-condition-scenarios-in-da.
BibTeX@misc{4ortxyz_domain-adaptation-deep-learning-and-its-t-s-diagnosis-networks-for-the-cross-control-and-cross-condition-scenarios-in-da_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Domain adaptation deep learning and its T-S diagnosis networks for the cross-control and cross-condition scenarios in data center HVAC systems}}, year = {2026}, url = {https://4ort.xyz/entity/domain-adaptation-deep-learning-and-its-t-s-diagnosis-networks-for-the-cross-control-and-cross-condition-scenarios-in-da}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Domain adaptation deep learning and its T-S diagnosis networks for the cross-control and cross-condition scenarios in data center HVAC systems — https://4ort.xyz/entity/domain-adaptation-deep-learning-and-its-t-s-diagnosis-networks-for-the-cross-control-and-cross-condition-scenarios-in-da (retrieved 2026-05-24)