Cite
A deep learning approach to predict and optimise energy in fish processing industries.
MLA
Ghoroghi, Ali, et al. “A Deep Learning Approach to Predict and Optimise Energy in Fish Processing Industries.” Renewable & Sustainable Energy Reviews, vol. 186, Oct. 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.rser.2023.113653.
APA
Ghoroghi, A., Petri, I., Rezgui, Y., & Alzahrani, A. (2023). A deep learning approach to predict and optimise energy in fish processing industries. Renewable & Sustainable Energy Reviews, 186, N.PAG. https://doi.org/10.1016/j.rser.2023.113653
Chicago
Ghoroghi, Ali, Ioan Petri, Yacine Rezgui, and Ateyah Alzahrani. 2023. “A Deep Learning Approach to Predict and Optimise Energy in Fish Processing Industries.” Renewable & Sustainable Energy Reviews 186 (October): N.PAG. doi:10.1016/j.rser.2023.113653.