Yu, Y.; Huang, X.; Lv, D.; Ng, B.K.; Lam, C.-T.
A Novel Approach to Pine Nut Classification: Combining Near-Infrared Spectroscopy and Image Shape Features with Soft Voting-Based Ensemble Learning. Mathematics 2025, 13, 2009.
https://doi.org/10.3390/math13122009
AMA Style
Yu Y, Huang X, Lv D, Ng BK, Lam C-T.
A Novel Approach to Pine Nut Classification: Combining Near-Infrared Spectroscopy and Image Shape Features with Soft Voting-Based Ensemble Learning. Mathematics. 2025; 13(12):2009.
https://doi.org/10.3390/math13122009
Chicago/Turabian Style
Yu, Yueyun, Xin Huang, Danjv Lv, Benjamin K. Ng, and Chan-Tong Lam.
2025. "A Novel Approach to Pine Nut Classification: Combining Near-Infrared Spectroscopy and Image Shape Features with Soft Voting-Based Ensemble Learning" Mathematics 13, no. 12: 2009.
https://doi.org/10.3390/math13122009
APA Style
Yu, Y., Huang, X., Lv, D., Ng, B. K., & Lam, C.-T.
(2025). A Novel Approach to Pine Nut Classification: Combining Near-Infrared Spectroscopy and Image Shape Features with Soft Voting-Based Ensemble Learning. Mathematics, 13(12), 2009.
https://doi.org/10.3390/math13122009