Advances in the Application of Artificial Intelligence-Based Spectral Data Interpretation: A Perspective
X Xue, H Sun, M Yang, X Liu, HY Hu, Y Deng… - Analytical …, 2023 - ACS Publications
The interpretation of spectral data, including mass, nuclear magnetic resonance, infrared,
and ultraviolet–visible spectra, is critical for obtaining molecular structural information. The …
and ultraviolet–visible spectra, is critical for obtaining molecular structural information. The …
Deep learning and its applications in nuclear magnetic resonance spectroscopy
Y Luo, X Zheng, M Qiu, Y Gou, Z Yang, X Qu… - Progress in Nuclear …, 2025 - Elsevier
Abstract Nuclear Magnetic Resonance (NMR), as an advanced technology, has widespread
applications in various fields like chemistry, biology, and medicine. However, issues such as …
applications in various fields like chemistry, biology, and medicine. However, issues such as …
Automatic classification of signal regions in 1H Nuclear Magnetic Resonance spectra
G Fischetti, N Schmid, S Bruderer… - Frontiers in Artificial …, 2023 - frontiersin.org
The identification and characterization of signal regions in Nuclear Magnetic Resonance
(NMR) spectra is a challenging but crucial phase in the analysis and determination of …
(NMR) spectra is a challenging but crucial phase in the analysis and determination of …