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Comprehensive machine learning prediction of GC/MS pesticide recovery based on the molecular fingerprinting for food QA/QC
Posters
| 2019 | Agilent Technologies
GC/MSD
Instrumentation
GC/MSD
Manufacturer
Agilent Technologies
Industries
Food & Agriculture
AI Peak Integration for MassHunter software automates manual peak integration during the data analysis process in GC/SQ
Posters
| 2023 | Agilent Technologies (ASMS)
GC/MSD, GC/SQ, Software
Instrumentation
GC/MSD, GC/SQ, Software
Manufacturer
Agilent Technologies
Industries
Others
Agilent AI Peak Integration for MassHunter
Technical notes
| 2023 | Agilent Technologies
GC/MSD, Software
Instrumentation
GC/MSD, Software
Manufacturer
Agilent Technologies
Industries
Materials Testing
The Agilent Cary 630 FTIR Spectrometer
Others
| 2022 | Agilent Technologies
FTIR Spectroscopy
Instrumentation
FTIR Spectroscopy
Manufacturer
Agilent Technologies
Industries
Clinical Research
AGILENT CROSSLAB SOLUTIONS FOR FAMILIARIZATION
Others
| 2015 | Agilent Technologies
Instrumentation
Manufacturer
Agilent Technologies
Industries
Optimum molecular descriptors based on 89 machine learning methods for predicting the recovery rate of pesticides in crops by GC-MS
Posters
| 2020 | Agilent Technologies
GC/MSD, Software
Instrumentation
GC/MSD, Software
Manufacturer
Agilent Technologies
Industries
Food & Agriculture
Classifying the pesticides in foods between GC-amenable and LC-amenable using the prediction model with molecular descriptors
Posters
| 2020 | Agilent Technologies
GC/MSD, LC/MS
Instrumentation
GC/MSD, LC/MS
Manufacturer
Agilent Technologies
Industries
Food & Agriculture
Learnings from the modulation of methane in GCxGC with a flow modulatordulator
Posters
| N/A | Agilent Technologies
GCxGC
Instrumentation
GCxGC
Manufacturer
Agilent Technologies
Industries
Energy & Chemicals
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LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike