Home ›
Entities
› academia
› Optimizing GIS partial discharge pattern recognition in the ubiquitous power internet of things context: A MixNet deep learning model
Optimizing GIS partial discharge pattern recognition in the ubiquitous power internet of things context: A MixNet deep learning model
Research article (International Journal of Electrical Power & Energy Systems, 2020) · cited 69× · AI/ML
Optimizing GIS partial discharge pattern recognition in the ubiquitous power internet of things context: A MixNet deep learning model
Summary
Optimizing GIS partial discharge pattern recognition in the ubiquitous power internet of things context: A MixNet deep learning model is a scholarly article[1].
Key Facts
Optimizing GIS partial discharge pattern recognition in the ubiquitous power internet of things context: A MixNet deep learning model'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). Optimizing GIS partial discharge pattern recognition in the ubiquitous power internet of things context: A MixNet deep learning model. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimizing-gis-partial-discharge-pattern-recognition-in-the-ubiquitous-power-internet-of-things-context-a-mixnet-deep-le
MLA“Optimizing GIS partial discharge pattern recognition in the ubiquitous power internet of things context: A MixNet deep learning model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimizing-gis-partial-discharge-pattern-recognition-in-the-ubiquitous-power-internet-of-things-context-a-mixnet-deep-le.
BibTeX@misc{4ortxyz_optimizing-gis-partial-discharge-pattern-recognition-in-the-ubiquitous-power-internet-of-things-context-a-mixnet-deep-le_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimizing GIS partial discharge pattern recognition in the ubiquitous power internet of things context: A MixNet deep learning model}}, year = {2026}, url = {https://4ort.xyz/entity/optimizing-gis-partial-discharge-pattern-recognition-in-the-ubiquitous-power-internet-of-things-context-a-mixnet-deep-le}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimizing GIS partial discharge pattern recognition in the ubiquitous power internet of things context: A MixNet deep learning model — https://4ort.xyz/entity/optimizing-gis-partial-discharge-pattern-recognition-in-the-ubiquitous-power-internet-of-things-context-a-mixnet-deep-le (retrieved 2026-05-24)
