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Updated: Jul 9, 2026

Experimental Protocol for Detecting Cyanobacteria in Liquid and Solid Samples with an Antibody Microarray Chip
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用于水质控制目的,自动识别有毒性蓝藻细菌属的自动识别

Iman Kianian1, MohammadSadeq Mottaqi2, Fatemeh Mohammadipanah3

  • 1Department of Computer Science, School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran.

Journal of environmental management
|June 5, 2024
PubMed
概括

这项研究引入了一个新的数据集和自动化系统,用于识别水中的毒性蓝藻 (有害藻类). 该方法使用深度学习来实现更快,更准确的水质监测,以保护公共健康.

关键词:
蓝藻细菌的分类方法图像识别 图像识别 图像识别移动网络 (MobileNet) 是一个移动网络.有毒的蓝藻细菌属 有毒的蓝藻细菌属这是VGGGG.水质监测 监测水质 监测水质

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