A study on the effect of input data length on deep learning based magnitude classifier.

MLA

Chakraborty, Megha, et al. “A Study on the Effect of Input Data Length on Deep Learning Based Magnitude Classifier.” Solid Earth Discussions, May 2022, pp. 1–11. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edb&AN=157786138&authtype=sso&custid=ns315887.

APA

Chakraborty, M., Wei Li, Faber, J., Rümpker, G., Stoecker, H., & Srivastava, N. (2022). A study on the effect of input data length on deep learning based magnitude classifier. Solid Earth Discussions, 1–11.

Chicago

Chakraborty, Megha, Wei Li, Johannes Faber, Georg Rümpker, Horst Stoecker, and Nishtha Srivastava. 2022. “A Study on the Effect of Input Data Length on Deep Learning Based Magnitude Classifier.” Solid Earth Discussions, May, 1–11. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edb&AN=157786138&authtype=sso&custid=ns315887.