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Updated: May 27, 2025

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一个深度学习框架用于H NMR中的多重分割分类

Giulia Fischetti1, Nicolas Schmid2, Simon Bruderer3

  • 1School of Engineering, Zurich University of Applied Sciences (ZHAW), Technikumstrasse 9, Winterthur, 8401, Zurich, Switzerland; Dipartimento di Scienze Molecolari e Nanosistemi, Ca' Foscari Università Venezia, Via Torino 155, Mestre, 30172, Italy.

Journal of magnetic resonance (San Diego, Calif. : 1997)
|February 20, 2025
PubMed
概括

一个深度学习框架MuSe Net自动化了1D质子核磁共振 (NMR) 光谱的注释. 这种方法通过准确地分类光谱模式和识别异常来增强化学化合物特征.

关键词:
(1) H NMR 的时间.深度学习是一种深度学习.多重分割 分割 多重分割 分割模式识别 模式识别 模式识别

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