Cite
Efficient PM2.5 forecasting using geographical correlation based on integrated deep learning algorithms.
MLA
Yeo, Inchoon, et al. “Efficient PM2.5 Forecasting Using Geographical Correlation Based on Integrated Deep Learning Algorithms.” Neural Computing & Applications, vol. 33, no. 22, Nov. 2021, pp. 15073–89. EBSCOhost, https://doi.org/10.1007/s00521-021-06082-8.
APA
Yeo, I., Choi, Y., Lops, Y., & Sayeed, A. (2021). Efficient PM2.5 forecasting using geographical correlation based on integrated deep learning algorithms. Neural Computing & Applications, 33(22), 15073–15089. https://doi.org/10.1007/s00521-021-06082-8
Chicago
Yeo, Inchoon, Yunsoo Choi, Yannic Lops, and Alqamah Sayeed. 2021. “Efficient PM2.5 Forecasting Using Geographical Correlation Based on Integrated Deep Learning Algorithms.” Neural Computing & Applications 33 (22): 15073–89. doi:10.1007/s00521-021-06082-8.