An efficient algorithm for atomic decomposition of power quality disturbance signals using convolutional neural network
Summary
An efficient algorithm for atomic decomposition of power quality disturbance signals using convolutional neural network is a scholarly article[1].
Key Facts
An efficient algorithm for atomic decomposition of power quality disturbance signals using convolutional neural network'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). An efficient algorithm for atomic decomposition of power quality disturbance signals using convolutional neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-algorithm-for-atomic-decomposition-of-power-quality-disturbance-signals-using-convolutional-neural-network
MLA“An efficient algorithm for atomic decomposition of power quality disturbance signals using convolutional neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-algorithm-for-atomic-decomposition-of-power-quality-disturbance-signals-using-convolutional-neural-network.
BibTeX@misc{4ortxyz_an-efficient-algorithm-for-atomic-decomposition-of-power-quality-disturbance-signals-using-convolutional-neural-network_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient algorithm for atomic decomposition of power quality disturbance signals using convolutional neural network}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-algorithm-for-atomic-decomposition-of-power-quality-disturbance-signals-using-convolutional-neural-network}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An efficient algorithm for atomic decomposition of power quality disturbance signals using convolutional neural network — https://4ort.xyz/entity/an-efficient-algorithm-for-atomic-decomposition-of-power-quality-disturbance-signals-using-convolutional-neural-network (retrieved 2026-05-24)
