Elvin, E., Wibowo, A., & Binus Graduate Program – Master of Computer Science Bina Nusantara University. (2024). Forecasting water quality through machine learning and hyperparameter optimization. Indonesian Journal of Electrical Engineering and Computer Science; Vol 33, No 1: January 2024; 496-506 ; 2502-4760 ; 2502-4752 ; 10.11591 jeecs.v33.I1. https://doi.org/10.11591 jeecs.v33.i1.pp496-506
ISO-690 (author-date, English)ELVIN, Elvin, WIBOWO, Antoni und BINUS GRADUATE PROGRAM – MASTER OF COMPUTER SCIENCE BINA NUSANTARA UNIVERSITY, 2024. Forecasting water quality through machine learning and hyperparameter optimization. Indonesian Journal of Electrical Engineering and Computer Science; Vol 33, No 1: January 2024; 496-506 ; 2502-4760 ; 2502-4752 ; 10.11591 jeecs.v33.i1. 1 Januar 2024. DOI 10.11591 jeecs.v33.i1.pp496-506.
Modern Language Association 9th editionElvin, E., A. Wibowo, und Binus Graduate Program – Master of Computer Science Bina Nusantara University. „Forecasting Water Quality through Machine Learning and Hyperparameter Optimization“. Indonesian Journal of Electrical Engineering and Computer Science; Vol 33, No 1: January 2024; 496-506 ; 2502-4760 ; 2502-4752 ; 10.11591 jeecs.v33.I1, Januar 2024, https://doi.org/10.11591 jeecs.v33.i1.pp496-506.
Mohr Siebeck - Recht (Deutsch - Österreich)Elvin, Elvin/Wibowo, Antoni/Binus Graduate Program – Master of Computer Science Bina Nusantara University: Forecasting water quality through machine learning and hyperparameter optimization, Indonesian Journal of Electrical Engineering and Computer Science; Vol 33, No 1: January 2024; 496-506 ; 2502-4760 ; 2502-4752 ; 10.11591 jeecs.v33.i1 2024,
Emerald - HarvardElvin, E., Wibowo, A. und Binus Graduate Program – Master of Computer Science Bina Nusantara University. (2024), „Forecasting water quality through machine learning and hyperparameter optimization“, Indonesian Journal of Electrical Engineering and Computer Science; Vol 33, No 1: January 2024; 496-506 ; 2502-4760 ; 2502-4752 ; 10.11591 jeecs.v33.I1, verfügbar unter:https://doi.org/10.11591 jeecs.v33.i1.pp496-506.