Jain, P., Joshi, A., & Joshi, A. (2025). Assessing the efficacy of machine learning models in hydroxyapatite nano-powder assisted electro discharge machining of Ti-6 Al-4 V Grade-5 alloy. International Journal on Interactive Design & Manufacturing, 19(2), 1003-1011. https://doi.org/10.1007/s12008-024-01886-z
ISO-690 (author-date, English)JAIN, Prince, JOSHI, Ayanesh und JOSHI, Anand, 2025. Assessing the efficacy of machine learning models in hydroxyapatite nano-powder assisted electro discharge machining of Ti-6 Al-4 V Grade-5 alloy. International Journal on Interactive Design & Manufacturing. 1 Februar 2025. Vol. 19, no. 2, p. 1003-1011. DOI 10.1007/s12008-024-01886-z.
Modern Language Association 9th editionJain, P., A. Joshi, und A. Joshi. „Assessing the Efficacy of Machine Learning Models in Hydroxyapatite Nano-Powder Assisted Electro Discharge Machining of Ti-6 Al-4 V Grade-5 Alloy.“. International Journal on Interactive Design & Manufacturing, Bd. 19, Nr. 2, Februar 2025, S. 1003-11, https://doi.org/10.1007/s12008-024-01886-z.
Mohr Siebeck - Recht (Deutsch - Österreich)Jain, Prince/Joshi, Ayanesh/Joshi, Anand: Assessing the efficacy of machine learning models in hydroxyapatite nano-powder assisted electro discharge machining of Ti-6 Al-4 V Grade-5 alloy., International Journal on Interactive Design & Manufacturing 2025, 1003-1011.
Emerald - HarvardJain, P., Joshi, A. und Joshi, A. (2025), „Assessing the efficacy of machine learning models in hydroxyapatite nano-powder assisted electro discharge machining of Ti-6 Al-4 V Grade-5 alloy.“, International Journal on Interactive Design & Manufacturing, Vol. 19 No. 2, S. 1003-1011.