Cite
Data-Driven Fracture Morphology Prognosis from High Pressured Modified Proppants Based on Stochastic-Adam-RMSprop Optimizers; tf.NNR Study
MLA
Dennis Delali Kwesi Wayo, et al. “Data-Driven Fracture Morphology Prognosis from High Pressured Modified Proppants Based on Stochastic-Adam-RMSprop Optimizers; Tf.NNR Study.” Big Data and Cognitive Computing, vol. 7, no. 2, Mar. 2023, p. 57. EBSCOhost, https://doi.org/10.3390/bdcc7020057.
APA
Dennis Delali Kwesi Wayo, Sonny Irawan, Alfrendo Satyanaga, & Jong Kim. (2023). Data-Driven Fracture Morphology Prognosis from High Pressured Modified Proppants Based on Stochastic-Adam-RMSprop Optimizers; tf.NNR Study. Big Data and Cognitive Computing, 7(2), 57. https://doi.org/10.3390/bdcc7020057
Chicago
Dennis Delali Kwesi Wayo, Sonny Irawan, Alfrendo Satyanaga, and Jong Kim. 2023. “Data-Driven Fracture Morphology Prognosis from High Pressured Modified Proppants Based on Stochastic-Adam-RMSprop Optimizers; Tf.NNR Study.” Big Data and Cognitive Computing 7 (2): 57. doi:10.3390/bdcc7020057.