W, L., L, K., L, Z., J, M., Y, Q., M, L., & X, L. (2026). Interpretable generative machine learning platform for chronological prediction of forensic paper aging via GC-IMS volatiles characterization in judicial authentication. Journal of chromatography. A, 1783, 467149. https://doi.org/10.1016/j.chroma.2026.467149
Παραπομπή σε μορφή Chicago (17η εκδ.)W, Lu, Kong L, Zhang L, Ma J, Qi Y, Lei M, και Li X. "Interpretable Generative Machine Learning Platform for Chronological Prediction of Forensic Paper Aging via GC-IMS Volatiles Characterization in Judicial Authentication." Journal of Chromatography. A 1783 (2026): 467149. https://doi.org/10.1016/j.chroma.2026.467149.
Παραπομπή σε μορφή MLA (9th εκδ.)W, Lu, et al. "Interpretable Generative Machine Learning Platform for Chronological Prediction of Forensic Paper Aging via GC-IMS Volatiles Characterization in Judicial Authentication." Journal of Chromatography. A, vol. 1783, 2026, p. 467149, https://doi.org/10.1016/j.chroma.2026.467149.