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Advancements towards selective barrier passage by automatic species identification: applications of deep convolutional neural networks on images of dewatered fish
Research article (ICES Journal of Marine Science, 2020) · cited 19× · AI/ML
Advancements towards selective barrier passage by automatic species identification: applications of deep convolutional neural networks on images of dewatered fish
Summary
Advancements towards selective barrier passage by automatic species identification: applications of deep convolutional neural networks on images of dewatered fish is a scholarly article[1].
Key Facts
Advancements towards selective barrier passage by automatic species identification: applications of deep convolutional neural networks on images of dewatered fish's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Advancements towards selective barrier passage by automatic species identification: applications of deep convolutional neural networks on images of dewatered fish. Retrieved May 24, 2026, from https://4ort.xyz/entity/advancements-towards-selective-barrier-passage-by-automatic-species-identification-applications-of-deep-convolutional-ne
MLA“Advancements towards selective barrier passage by automatic species identification: applications of deep convolutional neural networks on images of dewatered fish.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/advancements-towards-selective-barrier-passage-by-automatic-species-identification-applications-of-deep-convolutional-ne.
BibTeX@misc{4ortxyz_advancements-towards-selective-barrier-passage-by-automatic-species-identification-applications-of-deep-convolutional-ne_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Advancements towards selective barrier passage by automatic species identification: applications of deep convolutional neural networks on images of dewatered fish}}, year = {2026}, url = {https://4ort.xyz/entity/advancements-towards-selective-barrier-passage-by-automatic-species-identification-applications-of-deep-convolutional-ne}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Advancements towards selective barrier passage by automatic species identification: applications of deep convolutional neural networks on images of dewatered fish — https://4ort.xyz/entity/advancements-towards-selective-barrier-passage-by-automatic-species-identification-applications-of-deep-convolutional-ne (retrieved 2026-05-24)
