American Psychological Association 6th edition

Sheneamer, A. (2024). Vulnerable Java Script functions detection using stacking of convolutional neural networks. Peer J Computer Science, 1-38. https://doi.org/10.7717/peerj-cs.1838

ISO-690 (author-date, English)

SHENEAMER, Abdullah, 2024. Vulnerable Java Script functions detection using stacking of convolutional neural networks. Peer J Computer Science. 1 Februar 2024. P. 1-38. DOI 10.7717/peerj-cs.1838.

Modern Language Association 9th edition

Sheneamer, A. „Vulnerable Java Script Functions Detection Using Stacking of Convolutional Neural Networks.“. Peer J Computer Science, Februar 2024, S. 1-38, https://doi.org/10.7717/peerj-cs.1838.

Mohr Siebeck - Recht (Deutsch - Österreich)

Sheneamer, Abdullah: Vulnerable Java Script functions detection using stacking of convolutional neural networks., Peer J Computer Science 2024, 1-38.

Emerald - Harvard

Sheneamer, A. (2024), „Vulnerable Java Script functions detection using stacking of convolutional neural networks.“, Peer J Computer Science, S. 1-38.

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