Παραπομπή σε μορφή APA (7η εκδ.)

S, G., R, W., Z, Y., M, C., H, Z., Y, Q., . . . P, L. (2027). Raman spectral analysis of Chinese yam for geographical origin discrimination using an attention-enhanced deep learning approach. Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 364(Pt 1), 128530. https://doi.org/10.1016/j.saa.2026.128530

Παραπομπή σε μορφή Chicago (17η εκδ.)

S, Gao, Wu R, Yang Z, Chen M, Zhang H, Qin Y, Zhang M, και Li P. "Raman Spectral Analysis of Chinese Yam for Geographical Origin Discrimination Using an Attention-enhanced Deep Learning Approach." Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy 364, no. Pt 1 (2027): 128530. https://doi.org/10.1016/j.saa.2026.128530.

Παραπομπή σε μορφή MLA (9th εκδ.)

S, Gao, et al. "Raman Spectral Analysis of Chinese Yam for Geographical Origin Discrimination Using an Attention-enhanced Deep Learning Approach." Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy, vol. 364, no. Pt 1, 2027, p. 128530, https://doi.org/10.1016/j.saa.2026.128530.

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