Cite
Prediction of the SnO2-based sensor response for hydrogen detection by artificial intelligence techniques.
MLA
Shi, Cheng, et al. “Prediction of the SnO2-Based Sensor Response for Hydrogen Detection by Artificial Intelligence Techniques.” International Journal of Hydrogen Energy, vol. 48, no. 52, June 2023, pp. 19834–45. EBSCOhost, https://doi.org/10.1016/j.ijhydene.2023.02.096.
APA
Shi, C., Pei, W., Jin, C., Alizadeh, A., & Ghanbari, A. (2023). Prediction of the SnO2-based sensor response for hydrogen detection by artificial intelligence techniques. International Journal of Hydrogen Energy, 48(52), 19834–19845. https://doi.org/10.1016/j.ijhydene.2023.02.096
Chicago
Shi, Cheng, Wang Pei, Chen Jin, As’ad Alizadeh, and Afshin Ghanbari. 2023. “Prediction of the SnO2-Based Sensor Response for Hydrogen Detection by Artificial Intelligence Techniques.” International Journal of Hydrogen Energy 48 (52): 19834–45. doi:10.1016/j.ijhydene.2023.02.096.