Vadnerkar, Kalpit M, Eze, Emmanuela Amen, Gautam, Rinoj, Han, Daoru, Liang, Xin, and Shu, Tong. A Deep Learning Approach to Maximizing Electrostatic Sieve Efficiency in Regolith Beneficiation. Retrieved from https://par.nsf.gov/biblio/10650845. Web. doi:10.1109/BigData62323.2024.10826123.
@article{osti_10650845,
place = {Country unknown/Code not available},
title = {A Deep Learning Approach to Maximizing Electrostatic Sieve Efficiency in Regolith Beneficiation},
url = {https://par.nsf.gov/biblio/10650845},
DOI = {10.1109/BigData62323.2024.10826123},
abstractNote = {Not Available},
journal = {},
publisher = {IEEE},
author = {Vadnerkar, Kalpit M and Eze, Emmanuela Amen and Gautam, Rinoj and Han, Daoru and Liang, Xin and Shu, Tong},
}
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