American Psychological Association 6th edition

Nigam, M., & Verma, M. (2024). Prediction of compressive strength of nano-silica concrete by using random forest algorithm. Asian Journal of Civil Engineering: Building and Housing, 1-9. https://doi.org/10.1007/s42107-024-01107-8

ISO-690 (author-date, English)

NIGAM, Mayank und VERMA, Manvendra, 2024. Prediction of compressive strength of nano-silica concrete by using random forest algorithm. Asian Journal of Civil Engineering: Building and Housing. 26 Juni 2024. P. 1-9. DOI 10.1007/s42107-024-01107-8.

Modern Language Association 9th edition

Nigam, M., und M. Verma. „Prediction of Compressive Strength of Nano-Silica Concrete by Using Random Forest Algorithm“. Asian Journal of Civil Engineering: Building and Housing, Juni 2024, S. 1-9, https://doi.org/10.1007/s42107-024-01107-8.

Mohr Siebeck - Recht (Deutsch - Österreich)

Nigam, Mayank/Verma, Manvendra: Prediction of compressive strength of nano-silica concrete by using random forest algorithm, Asian Journal of Civil Engineering: Building and Housing 2024, 1-9.

Emerald - Harvard

Nigam, M. und Verma, M. (2024), „Prediction of compressive strength of nano-silica concrete by using random forest algorithm“, Asian Journal of Civil Engineering: Building and Housing, S. 1-9.

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