Peiris, M., & Premaratne, S. (2025). Optimizing Invoice Distribution Through Machine Learning and Natural Language Processing Techniques. Procedia Computer Science, 258, 737-744. https://doi.org/10.1016/j.procs.2025.04.306
ISO-690 (author-date, English)PEIRIS, M.J.I. und PREMARATNE, S.C., 2025. Optimizing Invoice Distribution Through Machine Learning and Natural Language Processing Techniques. Procedia Computer Science. 1 Mai 2025. Vol. 258, , p. 737-744. DOI 10.1016/j.procs.2025.04.306.
Modern Language Association 9th editionPeiris, M., und S. Premaratne. „Optimizing Invoice Distribution Through Machine Learning and Natural Language Processing Techniques.“. Procedia Computer Science, Bd. 258, Mai 2025, S. 737-44, https://doi.org/10.1016/j.procs.2025.04.306.
Mohr Siebeck - Recht (Deutsch - Österreich)Peiris, M.J.I./Premaratne, S.C.: Optimizing Invoice Distribution Through Machine Learning and Natural Language Processing Techniques., Procedia Computer Science 2025, 737-744.
Emerald - HarvardPeiris, M. und Premaratne, S. (2025), „Optimizing Invoice Distribution Through Machine Learning and Natural Language Processing Techniques.“, Procedia Computer Science, Vol. 258, S. 737-744.