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1 Ergebnisse
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Deep learning for near-infrared spectral data modelling: Hy..:
Mishra, Puneet
;
Passos, Dário
;
Marini, Federico
...
TrAC Trends in Analytical Chemistry. 157 (2022) - p. 116804 , 2022
Link:
https://doi.org/10.1016/j.trac.2022.116804
RT Journal T1
Deep learning for near-infrared spectral data modelling: Hypes and benefits
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.trac.2022.116804&Exemplar=1&LAN=DE A1 Mishra, Puneet A1 Passos, Dário A1 Marini, Federico A1 Xu, Junli A1 Amigo, Jose M. A1 Gowen, Aoife A. A1 Jansen, Jeroen J. A1 Biancolillo, Alessandra A1 Roger, Jean Michel A1 Rutledge, Douglas N. A1 Nordon, Alison PB Elsevier BV YR 2022 SN 0165-9936 JF TrAC Trends in Analytical Chemistry VO 157 SP 116804 LK http://dx.doi.org/https://doi.org/10.1016/j.trac.2022.116804 DO https://doi.org/10.1016/j.trac.2022.116804 SF ELIB - SuUB Bremen
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