APA (7th ed.) Citation

Yang, N., Zhang, Z., Yang, J., & Hong, Z. (2023). Mineralized-Anomaly Identification Based on Convolutional Sparse Autoencoder Network and Isolated Forest. Natural resources research (New York, N.Y.), 32(1), 1-18. https://doi.org/10.1007/s11053-022-10143-7

Chicago Style (17th ed.) Citation

Yang, Na, Zhenkai Zhang, Jianhua Yang, and Zenglin Hong. "Mineralized-Anomaly Identification Based on Convolutional Sparse Autoencoder Network and Isolated Forest." Natural Resources Research (New York, N.Y.) 32, no. 1 (2023): 1-18. https://doi.org/10.1007/s11053-022-10143-7.

MLA (9th ed.) Citation

Yang, Na, et al. "Mineralized-Anomaly Identification Based on Convolutional Sparse Autoencoder Network and Isolated Forest." Natural Resources Research (New York, N.Y.), vol. 32, no. 1, 2023, pp. 1-18, https://doi.org/10.1007/s11053-022-10143-7.