CNN-Based Algorithm for Detecting Tomato Seed Oil Adulteration Using Thermal and Volatilomic Features

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: CNN-Based Algorithm for Detecting Tomato Seed Oil Adulteration Using Thermal and Volatilomic Features
Συγγραφείς: Manin, Laura, Stuppia, Elena, Lagana, Filippo, Valic, Srecko, Islam, Syed K., Pullano, Salvatore A.
Πηγή: 2026 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0 & IoT) Metrology for Industry 4.0 & IoT (MetroInd4.0 & IoT), 2026 IEEE International Workshop on. :47-51 Jun, 2026
Relation: 2026 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0 & IoT)
Βάση Δεδομένων: IEEE Xplore Digital Library
Περιγραφή
ISBN:9798331551568
9798331551551
9798331551575
ISSN:28370872
28370864
DOI:10.1109/MetroInd4.0IoT69397.2026.11653178