GCMS
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike

Optimum molecular descriptors based on 89 machine learning methods for predicting the recovery rate of pesticides in crops by GC-MS

 

Similar PDF

Toggle
Poster Reprint ASMS 2019 TP298 Comprehensive machine learning prediction of GC/MS pesticide recovery based on the molecular fingerprinting for food QA/QC Takeshi Serino* 1,2; Sadao Nakamura1; Yoshizumi Takigawa1; Norton Kitagawa3; Shigehiko Kanaya 2 1 Agilent Technologies, Hachioji City, Japan 2…
Key words
learning, learningmachine, machine𝑖𝑗, 𝑖𝑗descriptor, descriptorsmiles, smilesrecovery, recoverypek, pekatoms, atomsgeneralization, generalizationpesticide, pesticideprediction, predictionindex, indexpesticides, pesticidesmethods, methods𝑦ത
Poster Reprint ASMS 2020 WP 165 Classifying the pesticides in foods between GC-amenable and LC-amenable using the prediction model with molecular descriptors Sadao Nakamura 1, Takeshi Serino 1, 2, Takeshi Otsuka 1, Yoshizumi Takigawa 1, Tarun Anumol 3, Shigehiko Kanaya…
Key words
both, bothlearning, learningmachine, machinedescriptor, descriptorpesticides, pesticidesamenable, amenableclassification, classificationatoms, atomspesticide, pesticidetech, techensemble, ensemblemethyl, methylexecution, executionlist, listqspr
Agilent ASMS 2020 Posters Book
2020|Agilent Technologies|Posters
Poster Reprint ASMS 2020 MP 176 Using ICP-MS/MS with M-Lens for the analysis of high silicon matrix samples Yu Ying1; Xiangcheng Zeng1 1Agilent China Technologies, China, Shanghai, Introduction The expansion of the connected devices and the Internet of Things (IoT)…
Key words
peptide, peptidereprint, reprintwere, wereposter, postermethod, methoddiscussion, discussionresults, resultspositive, positiveclassification, classificationboth, bothusing, usingexperimental, experimentalanalysis, analysisrecovery, recoverysample
MestReNova Manual
2024|Mestrelab Research|Manuals
MestReNova Manual © 2023 M ESTRELAB RESEARCH Last Revision: 21st Feb 2024 MestReNova 15.0.1 by MESTRELAB RESEARCH This is the manual of MestReNova 15.0.01 MestReNova © 2024 MESTRELAB RESEARCH All rights reserved. No parts of this work may be reproduced…
Key words
mestrenova, mestrenovamnova, mnovayou, youclicking, clickingnmr, nmrmschrom, mschromspectrum, spectrummultiplet, multipletmenu, menuprocessing, processingmultiplets, multipletscan, canspectra, spectrastacked, stackedprediction
Other projects
Follow us
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike