Home ›
Entities
› academia
› Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery
Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery
Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery
Summary
Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery is a scholarly article[1].
Key Facts
Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery'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). Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery. Retrieved May 24, 2026, from https://4ort.xyz/entity/estimation-of-cyanobacteria-pigments-in-the-main-rivers-of-south-korea-using-spatial-attention-convolutional-neural-netw
MLA“Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/estimation-of-cyanobacteria-pigments-in-the-main-rivers-of-south-korea-using-spatial-attention-convolutional-neural-netw.
BibTeX@misc{4ortxyz_estimation-of-cyanobacteria-pigments-in-the-main-rivers-of-south-korea-using-spatial-attention-convolutional-neural-netw_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery}}, year = {2026}, url = {https://4ort.xyz/entity/estimation-of-cyanobacteria-pigments-in-the-main-rivers-of-south-korea-using-spatial-attention-convolutional-neural-netw}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery — https://4ort.xyz/entity/estimation-of-cyanobacteria-pigments-in-the-main-rivers-of-south-korea-using-spatial-attention-convolutional-neural-netw (retrieved 2026-05-24)
