动机场与双流特征融合网络和双检测头相结合,用于海水中微藻的识别和预测

Junfei Liu1, Ying Chen1, Chenglong Wang1

  • 1Hebei Province Key Laboratory of Test/Measurement Technology and Instrument, School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei, China.

Water research
|September 13, 2025
PubMed
概括

一种新的双模式光谱法准确识别了微藻物种和度. 这种方法将光和吸收光谱与先进的水质监测和水产养殖的深度学习相结合.

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