Home ›
Entities
› academia
› Energy consumption and efficiency degradation predictive analysis in unmanned aerial vehicle batteries using deep neural networks
Energy consumption and efficiency degradation predictive analysis in unmanned aerial vehicle batteries using deep neural networks
Research article (Advances in Science and Technology – Research Journal, 2025) · cited 22× · AI/ML
Energy consumption and efficiency degradation predictive analysis in unmanned aerial vehicle batteries using deep neural networks
Summary
Energy consumption and efficiency degradation predictive analysis in unmanned aerial vehicle batteries using deep neural networks is a scholarly article[1].
Key Facts
Energy consumption and efficiency degradation predictive analysis in unmanned aerial vehicle batteries using deep neural networks'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). Energy consumption and efficiency degradation predictive analysis in unmanned aerial vehicle batteries using deep neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/energy-consumption-and-efficiency-degradation-predictive-analysis-in-unmanned-aerial-vehicle-batteries-using-deep-neural
MLA“Energy consumption and efficiency degradation predictive analysis in unmanned aerial vehicle batteries using deep neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/energy-consumption-and-efficiency-degradation-predictive-analysis-in-unmanned-aerial-vehicle-batteries-using-deep-neural.
BibTeX@misc{4ortxyz_energy-consumption-and-efficiency-degradation-predictive-analysis-in-unmanned-aerial-vehicle-batteries-using-deep-neural_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Energy consumption and efficiency degradation predictive analysis in unmanned aerial vehicle batteries using deep neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/energy-consumption-and-efficiency-degradation-predictive-analysis-in-unmanned-aerial-vehicle-batteries-using-deep-neural}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Energy consumption and efficiency degradation predictive analysis in unmanned aerial vehicle batteries using deep neural networks — https://4ort.xyz/entity/energy-consumption-and-efficiency-degradation-predictive-analysis-in-unmanned-aerial-vehicle-batteries-using-deep-neural (retrieved 2026-05-24)
