Cite
Structural Analysis and Classification of Low-Molecular-Weight Hyaluronic Acid by Near-Infrared Spectroscopy: A Comparison between Traditional Machine Learning and Deep Learning
MLA
Weilu Tian, et al. “Structural Analysis and Classification of Low-Molecular-Weight Hyaluronic Acid by Near-Infrared Spectroscopy: A Comparison between Traditional Machine Learning and Deep Learning.” Molecules, vol. 28, no. 2, Jan. 2023, p. 809. EBSCOhost, https://doi.org/10.3390/molecules28020809.
APA
Weilu Tian, Lixuan Zang, Lei Nie, Lian Li, Liang Zhong, Xueping Guo, Siling Huang, & Hengchang Zang. (2023). Structural Analysis and Classification of Low-Molecular-Weight Hyaluronic Acid by Near-Infrared Spectroscopy: A Comparison between Traditional Machine Learning and Deep Learning. Molecules, 28(2), 809. https://doi.org/10.3390/molecules28020809
Chicago
Weilu Tian, Lixuan Zang, Lei Nie, Lian Li, Liang Zhong, Xueping Guo, Siling Huang, and Hengchang Zang. 2023. “Structural Analysis and Classification of Low-Molecular-Weight Hyaluronic Acid by Near-Infrared Spectroscopy: A Comparison between Traditional Machine Learning and Deep Learning.” Molecules 28 (2): 809. doi:10.3390/molecules28020809.