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An auto contrast custom convolutional neural network to identifying Gram-negative bacteria

Research article (2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM), 2020) · cited 11× · AI/ML
academia openalex:W3114917765
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An auto contrast custom convolutional neural network to identifying Gram-negative bacteria

Summary

An auto contrast custom convolutional neural network to identifying Gram-negative bacteria is a scholarly article[1].

Key Facts

  • An auto contrast custom convolutional neural network to identifying Gram-negative bacteria's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). An auto contrast custom convolutional neural network to identifying Gram-negative bacteria. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-auto-contrast-custom-convolutional-neural-network-to-identifying-gram-negative-bacteria
MLA “An auto contrast custom convolutional neural network to identifying Gram-negative bacteria.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-auto-contrast-custom-convolutional-neural-network-to-identifying-gram-negative-bacteria.
BibTeX @misc{4ortxyz_an-auto-contrast-custom-convolutional-neural-network-to-identifying-gram-negative-bacteria_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An auto contrast custom convolutional neural network to identifying Gram-negative bacteria}}, year = {2026}, url = {https://4ort.xyz/entity/an-auto-contrast-custom-convolutional-neural-network-to-identifying-gram-negative-bacteria}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An auto contrast custom convolutional neural network to identifying Gram-negative bacteria — https://4ort.xyz/entity/an-auto-contrast-custom-convolutional-neural-network-to-identifying-gram-negative-bacteria (retrieved 2026-05-24)

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