Pioneering AI in Chemical Data: New Frontline With GC- MS Generation
Author:
Affiliation:
1. School of Electrical Engineering, Korea University,Seoul,Korea,02841
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10463165/10463194/10463452.pdf?arnumber=10463452
Reference17 articles.
1. Trends in artificial intelligence, machine learning, and chemometrics applied to chemical data
2. Gas chromatography/mass spectrometry (GC/MS) remains a pre-eminent discovery tool in clinical steroid investigations even in the era of fast liquid chromatography tandem mass spectrometry (LC/MS/MS)
3. From untargeted chemical profiling to peak tables – A fully automated AI driven approach to untargeted GC-MS
4. A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective
5. Data Augmentation techniques in time series domain: a survey and taxonomy
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