Title: Physics-integrated Segmented Gaussian Process (SegGP) learning for cost-efficient training of diesel engine control system with low cetane numbers
Narayanan, Sai Ranjeet, Ji, Yi, Sapra, Harsh Darshan, Yang, Suo, Mak, Simon, Sun, Zongxuan, Kokjohn, Sage, Kim, Kenneth, and Kweon, Chol Bum. Physics-integrated Segmented Gaussian Process (SegGP) learning for cost-efficient training of diesel engine control system with low cetane numbers. Retrieved from https://par.nsf.gov/biblio/10425172. AIAA SCITECH 2023 Forum . Web. doi:10.2514/6.2023-1283.
Narayanan, Sai Ranjeet, Ji, Yi, Sapra, Harsh Darshan, Yang, Suo, Mak, Simon, Sun, Zongxuan, Kokjohn, Sage, Kim, Kenneth, & Kweon, Chol Bum. Physics-integrated Segmented Gaussian Process (SegGP) learning for cost-efficient training of diesel engine control system with low cetane numbers. AIAA SCITECH 2023 Forum, (). Retrieved from https://par.nsf.gov/biblio/10425172. https://doi.org/10.2514/6.2023-1283
Narayanan, Sai Ranjeet, Ji, Yi, Sapra, Harsh Darshan, Yang, Suo, Mak, Simon, Sun, Zongxuan, Kokjohn, Sage, Kim, Kenneth, and Kweon, Chol Bum.
"Physics-integrated Segmented Gaussian Process (SegGP) learning for cost-efficient training of diesel engine control system with low cetane numbers". AIAA SCITECH 2023 Forum (). Country unknown/Code not available. https://doi.org/10.2514/6.2023-1283.https://par.nsf.gov/biblio/10425172.
@article{osti_10425172,
place = {Country unknown/Code not available},
title = {Physics-integrated Segmented Gaussian Process (SegGP) learning for cost-efficient training of diesel engine control system with low cetane numbers},
url = {https://par.nsf.gov/biblio/10425172},
DOI = {10.2514/6.2023-1283},
abstractNote = {},
journal = {AIAA SCITECH 2023 Forum},
author = {Narayanan, Sai Ranjeet and Ji, Yi and Sapra, Harsh Darshan and Yang, Suo and Mak, Simon and Sun, Zongxuan and Kokjohn, Sage and Kim, Kenneth and Kweon, Chol Bum},
}
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