Manin, L., Stuppia, E., Lagana, F., Valic, S., Islam, S. K., & Pullano, S. A. (2026). CNN-Based Algorithm for Detecting Tomato Seed Oil Adulteration Using Thermal and Volatilomic Features. 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. https://doi.org/10.1109/MetroInd4.0IoT69397.2026.11653178
Παραπομπή σε μορφή Chicago (17η εκδ.)Manin, Laura, Elena Stuppia, Filippo Lagana, Srecko Valic, Syed K. Islam, και Salvatore A. Pullano. "CNN-Based Algorithm for Detecting Tomato Seed Oil Adulteration Using Thermal and Volatilomic Features." 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 2026: 47. https://doi.org/10.1109/MetroInd4.0IoT69397.2026.11653178.
Παραπομπή σε μορφή MLA (9th εκδ.)Manin, Laura, et al. "CNN-Based Algorithm for Detecting Tomato Seed Oil Adulteration Using Thermal and Volatilomic Features." 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, 2026, p. 47, https://doi.org/10.1109/MetroInd4.0IoT69397.2026.11653178.