LI, Wei, CHAKRABORTY, Megha, SHA, Yu, ZHOU, Kai, FABER, Johannes, RÜMPKER, Georg, STÖCKER, Horst und SRIVASTAVA, Nishtha, 2022. A study on small magnitude seismic phase identification using 1 D deep residual neural network. Amsterdam: Elsevier.
Elsevier - Harvard (with titles)Li, W., Chakraborty, M., Sha, Y., Zhou, K., Faber, J., Rümpker, G., Stöcker, H., Srivastava, N., 2022. A study on small magnitude seismic phase identification using 1 D deep residual neural network, Artificial intelligence in geosciences. Elsevier, Amsterdam. https://doi.org/10.1016/j.aiig.2022.10.002
American Psychological Association 7th editionLi, W., Chakraborty, M., Sha, Y., Zhou, K., Faber, J., Rümpker, G., Stöcker, H., & Srivastava, N. (ca. 2022). A study on small magnitude seismic phase identification using 1 D deep residual neural network [Cd]. In Artificial intelligence in geosciences. Elsevier. https://doi.org/10.1016/j.aiig.2022.10.002
Springer - Basic (author-date)Li W, Chakraborty M, Sha Y, Zhou K, Faber J, Rümpker G, Stöcker H, Srivastava N (2022) A study on small magnitude seismic phase identification using 1 D deep residual neural network. Elsevier, Amsterdam
Juristische Zitierweise (Stüber) (Deutsch)Li, Wei/ Chakraborty, Megha/ Sha, Yu/ Zhou, Kai/ Faber, Johannes/ Rümpker, Georg/ Stöcker, Horst/ Srivastava, Nishtha, A study on small magnitude seismic phase identification using 1 D deep residual neural network, Amsterdam 2022.