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American Psychological Association 6th edition

Mateo Sanguino, T. de J. (2024). Enhancing Security in Industrial Application Development: Case Study on Self-Generating Artificial Intelligence Tools. Applied Sciences (2076-3417), 14(9), 3780-3797. https://doi.org/10.3390/app14093780

ISO-690 (author-date, English)

MATEO SANGUINO, Tomás de J., 2024. Enhancing Security in Industrial Application Development: Case Study on Self-Generating Artificial Intelligence Tools. Applied Sciences (2076-3417). 1 Mai 2024. Vol. 14, no. 9, p. 3780-3797. DOI 10.3390/app14093780.

Modern Language Association 9th edition

Mateo Sanguino, T. de J. „Enhancing Security in Industrial Application Development: Case Study on Self-Generating Artificial Intelligence Tools.“. Applied Sciences (2076-3417), Bd. 14, Nr. 9, Mai 2024, S. 3780-97, https://doi.org/10.3390/app14093780.

Mohr Siebeck - Recht (Deutsch - Österreich)

Mateo Sanguino, Tomás de J.: Enhancing Security in Industrial Application Development: Case Study on Self-Generating Artificial Intelligence Tools., Applied Sciences (2076-3417) 2024, 3780-3797.

Emerald - Harvard

Mateo Sanguino, T. de J. (2024), „Enhancing Security in Industrial Application Development: Case Study on Self-Generating Artificial Intelligence Tools.“, Applied Sciences (2076-3417), Vol. 14 No. 9, S. 3780-3797.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.