American Psychological Association 6th edition

Pokhrel, N. R., Dahal, K. R., Rimal, R., Bhandari, H. N., & Rimal, B. (2024). Deep-SDM: A Unified Computational Framework for Sequential Data Modeling Using Deep Learning Models. Software (2674-113 X), 3(1), 47-61. https://doi.org/10.3390/software3010003

ISO-690 (author-date, English)

POKHREL, Nawa Raj, DAHAL, Keshab Raj, RIMAL, Ramchandra, BHANDARI, Hum Nath und RIMAL, Binod, 2024. Deep-SDM: A Unified Computational Framework for Sequential Data Modeling Using Deep Learning Models. Software (2674-113 X). 1 März 2024. Vol. 3, no. 1, p. 47-61. DOI 10.3390/software3010003.

Modern Language Association 9th edition

Pokhrel, N. R., K. R. Dahal, R. Rimal, H. N. Bhandari, und B. Rimal. „Deep-SDM: A Unified Computational Framework for Sequential Data Modeling Using Deep Learning Models.“. Software (2674-113 X), Bd. 3, Nr. 1, März 2024, S. 47-61, https://doi.org/10.3390/software3010003.

Mohr Siebeck - Recht (Deutsch - Österreich)

Pokhrel, Nawa Raj/Dahal, Keshab Raj/Rimal, Ramchandra/Bhandari, Hum Nath/Rimal, Binod: Deep-SDM: A Unified Computational Framework for Sequential Data Modeling Using Deep Learning Models., Software (2674-113 X) 2024, 47-61.

Emerald - Harvard

Pokhrel, N.R., Dahal, K.R., Rimal, R., Bhandari, H.N. und Rimal, B. (2024), „Deep-SDM: A Unified Computational Framework for Sequential Data Modeling Using Deep Learning Models.“, Software (2674-113 X), Vol. 3 No. 1, S. 47-61.

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