Corrigendum: Underwater signal recognition based on integrating domain adaptation framework with the stochastic classifier [Ocean Eng. 312 (2) 15 November (2024), 119137] (Ocean Engineering (2024) 312(P2), (S0029801824024752), (10.1016/j.oceaneng.2024.119137))

The authors regret using the incorrect figure title in Fig. 2, citing the erroneous reference in section 4.1.1, and other misuses. The necessary corrections have now been made, and it is important to note that these amendments do not significantly affect the overall results and conclusions of the paper. 1. The name of Fig. 2, “Fig. 2. Schematic diagram of CQCC feature extraction.” is desired to be changed to “Fig. 2. Schematic diagram of feature construction.” 2. In the second paragraph of section 4.1.1. Overall comparison, " MCD (SWD) (Lee et al., 2019), JADA (Li et al., 2019), DADA (Zhang et al., 2019), MME (Saito et al., 2019), CCM (Yu et al., 2023),". The label DADA (Zhang et al., 2019) cited the wrong literature, while the BibTeX for the correct reference is: " @article{du2020dual, title = {Dual adversarial domain adaptation}, author = {Du, Yuntao and Tan, Zhiwen and Chen, Qian and Zhang, Xiaowen and Yao, Yirong and Wang, Chongjun}, journal = {arXiv preprint arXiv:2001.00153}, year = {2020} } ". 3. The last sentence located in 3.7. Overall loss, “In addition, Eq. (5) solves [Formula presented]." 4. In the second paragraph of section 4.1.2. Comparison of modified models and features construction, “In Table 6, the accuracy of most cross-domain approaches applying amended models has increased, demonstrating that the multiscale structure is beneficial to domain adaptation techniques in the tests.” should be "In Fig. 5, the accuracy of most ……". 5. In the second paragraph of section 4.1.3. Experiments in Gaussian white noise environment, “Comparing Tables 6 and 7, it becomes evident that … …” is expected to be modified as "Comparing Fig. 5, Tables 6 and 7, it becomes evident that … … ". The authors would like to apologise for any inconvenience caused.