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N. Behera

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Articles by N. Behera

Prediction of coefficient of friction of solid powder lubricants under high pressure conditions using machine learning algorithms

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By J. Jose, A. Suryawanshi, N. Behera
| Wiley Online Library Verified
Conflict of interests The authors declare no financial or commercial conflict of interest. References 1, , Tribol. Int. 2016, 38, 318. 2, , Surf. Coat. Technol. 2004, 180, 76. 3, Tribol. Int. 1990, 23, 95. 4, J. Phys. D 2012, 45, 1. 5G. Stachowiak, A. W. Batchelor, Engineering tribology, 2013. 6, , J. Tribol. 1995, 117, 506. 7, , J. Tribol. 1996, 118, 484. 8, , Tribol. Trans. 1999, 42, 640. 9, Lubr. Eng. 1992, 48, 96. 10, Tribol. Trans. 2000, 43, 213. 11, , , Procedia Eng. 2016, 144, 841. 12, , , Particuology. 2016, 27, 51.
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Prediction of mechanical properties of dental composite materials using machine learning algorithms

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By E. Yilmaz, A. Suryawanshi, N. Behera, R. Sadeler
| Wiley Online Library Verified
1, , J. Nanomater. 2017, 2017, 1. 2A. Fischer, Handbook of Nanoindentation and Indenter Selection Guidelines, Fischer-Cripps Laboratories Pty. Limited, Sydney, Australia, 2011. 3, , Materialwiss. Werkstofftech. 2022, 53, 617. 4, Justice. 2016, 156, 269. 5, Int. J.Artif. Intell. Appl. 2019, 10, 41. 6, , , , J. Dent. 2018, 77, 106. 7D. Lee, PhD Thesis, Korea, 2020. 8, , , J. Dent. Res. 2020, 99, 769. 9, , , , , , , BioMed Res. Int. 2021, 2021. 10, , Comput. Methods. Biomech. Biomed. Engin. 2023, 26, 710. 11E.
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