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      Deep learning for near-infrared spectral data modelling: Hypes and benefits 

      Mishra, Puneet; Passos, Dário; Marini, Federico; Xu, Junli; Amigo Rubio, José Manuel ORCID; Gowen, Aoife A.; Jansen, Jeroen J.; Biancolillo, Alessandra; Roger, Jean Michel; Rutledge, Douglas N.; Nordon, Alison (Elsevier, 2022-12)
      Deep learning (DL) is emerging as a new tool to model spectral data acquired in analytical experiments. Although applications are flourishing, there is also much interest currently observed in the scientific community on ...