Zhu, Z.; Qi, G.; Lei, Y.; Jiang, D.; Mazur, N.; Liu, Y.; Wang, D.; Zhu, W.
A Long Short-Term Memory Neural Network Based Simultaneous Quantitative Analysis of Multiple Tobacco Chemical Components by Near-Infrared Hyperspectroscopy Images. Chemosensors 2022, 10, 164.
https://doi.org/10.3390/chemosensors10050164
AMA Style
Zhu Z, Qi G, Lei Y, Jiang D, Mazur N, Liu Y, Wang D, Zhu W.
A Long Short-Term Memory Neural Network Based Simultaneous Quantitative Analysis of Multiple Tobacco Chemical Components by Near-Infrared Hyperspectroscopy Images. Chemosensors. 2022; 10(5):164.
https://doi.org/10.3390/chemosensors10050164
Chicago/Turabian Style
Zhu, Zhiqin, Guanqiu Qi, Yangbo Lei, Daiyu Jiang, Neal Mazur, Yang Liu, Di Wang, and Wei Zhu.
2022. "A Long Short-Term Memory Neural Network Based Simultaneous Quantitative Analysis of Multiple Tobacco Chemical Components by Near-Infrared Hyperspectroscopy Images" Chemosensors 10, no. 5: 164.
https://doi.org/10.3390/chemosensors10050164
APA Style
Zhu, Z., Qi, G., Lei, Y., Jiang, D., Mazur, N., Liu, Y., Wang, D., & Zhu, W.
(2022). A Long Short-Term Memory Neural Network Based Simultaneous Quantitative Analysis of Multiple Tobacco Chemical Components by Near-Infrared Hyperspectroscopy Images. Chemosensors, 10(5), 164.
https://doi.org/10.3390/chemosensors10050164