Xiong, Q., Wu, X., Yu, C., & Hosseinzadeh, H. (2025). A study of combination of autoencoders and boosted Big-Bang crunch theory architectures for Land-Use classification using remotely sensed imagery. Scientific reports, 15(1), 15428-18. https://doi.org/10.1038/s41598-025-99436-4
Chicago-Zitierstil (17. Ausg.)Xiong, Qiongbing, Xuecheng Wu, Cizhen Yu, und Hasan Hosseinzadeh. "A Study of Combination of Autoencoders and Boosted Big-Bang Crunch Theory Architectures for Land-Use Classification Using Remotely Sensed Imagery." Scientific Reports 15, no. 1 (2025): 15428-18. https://doi.org/10.1038/s41598-025-99436-4.
MLA-Zitierstil (9. Ausg.)Xiong, Qiongbing, et al. "A Study of Combination of Autoencoders and Boosted Big-Bang Crunch Theory Architectures for Land-Use Classification Using Remotely Sensed Imagery." Scientific Reports, vol. 15, no. 1, 2025, pp. 15428-18, https://doi.org/10.1038/s41598-025-99436-4.