References

[1] Dong S, Kong Q, Zhu G. Temporal and spatial distribution of Antarctic krill (Euphausia superba) swarms in the Bransfield Strait, Antarctic in autumn 2020. Journal of Fisheries of China. 2022;46(03):337-348.

[2] McBride MM, Stokke OS, Renner AHH, et al. Antarctic krill Euphausia superba: Spatial distribution, abundance, and management of fisheries in a changing climate. Marine Ecology Progress Series. 2021;668:185-214.

[3] Belcher A, Henson SA, Manno C, et al. Krill faecal pellets drive hidden pulses of particulate organic carbon in the marginal ice zone. Nature Communications. 2019;10(1):889.

[4] Tang S, Wang JJ, Li Y, et al. Recent advances in the use of Antarctic krill (Euphausia superba) as a sustainable source of high-quality protein: A comprehensive review. Trends in Food Science & Technology. 2024;152:104684.

[5] Brierley AS, Demer DA, Watkins JL, et al. Concordance of interannual fluctuations in acoustically estimated densities of Antarctic krill around South Georgia and Elephant Island: Biological evidence of same-year teleconnections across the Scotia Sea. Marine Biology. 1999;134(4):675-681.

[6] Hewitt RP, Demer DA, Emery JH. An 8-year cycle in krill biomass density inferred from acoustic surveys conducted in the vicinity of the South Shetland Islands during the austral summers of 1991-1992 through 2001-2002. Aquatic Living Resources. 2003;16(3):205-213.

[7] Meyer MA, El-Sayed SZ. Grazing of Euphausia superba Dana on natural phytoplankton populations. Polar Biology. 1983;1(4):193-197.

[8] González HE. The distribution and abundance of krill faecal material and oval pellets in the Scotia and Weddell Seas (Antarctica) and their role in particle flux. In: Hempel G, editor. Weddell Sea Ecology. Berlin, Heidelberg: Springer; 1992. p. 81-91.

[9] Mackintosh NA. Life cycle of Antarctic krill in relation to ice and water conditions. Journal of Animal Ecology. 1972;41(3):781-782.

[10] Amos AF. Distribution of krill (Euphausia superba) and the hydrography of the Southern Ocean: Large-scale processes. Journal of Crustacean Biology. 1984;4(5):306-329.

[11] Kokubun N, Choy EJ, Kim JH, et al. Isotopic values of Antarctic krill in relation to foraging habitat of penguins. Ornithological Science. 2015;14(1):13-20.

[12] Zhong C, Chen P, Zhang Z, et al. CPUE retrieval from spaceborne lidar data: A case study in the Atlantic bigeye tuna fishing area and Antarctica fishing area. Frontiers in Marine Science. 2022;9:1009620.

[13] CCAMLR. Map of the CAMLR Convention Area. Last updated October 2017. Available from: www.ccamlr.org/node/86816

[14] Atkinson A, Hill SL, Pakhomov E, et al. KRILLBASE: A circumpolar database of Antarctic krill and salp numerical densities, 1926-2016. Earth System Science Data. 2017;9:193-2107.

[15] E.U. Copernicus Marine Service Information; Global Ocean Physics Reanalysis—GLOBAL_MULTIYEAR_PHY_001_030

(2012-08-26). https://doi.org/ 10.48670/moi-00021.

[16] E.U. Copernicus Marine Service Information; Global Ocean Biogeochemistry Hindcast—GLOBAL_MULTIYEAR_BGC_001_ 029 (2012-08-26). https://doi.org/10.48670/moi-00019.

[17] Kuffel P, Kent K, Irwin G. The implementation and effectiveness of linear interpolation within digital simulation. International Journal of Electrical Power & Energy Systems. 1997;19(4):221-227.

[18] Sun H, Zhou W, Shao Y, et al. A linear interpolation and curvature-controlled gradient optimization strategy based on Adam. Algorithms. 2024;17(5):185.

[19] Chen J, Zhou Q, Bao L, Tao Q. A linear interpolation method for adversarial attack. Computer Science. 2025;1-14.

[20] García S, Luengo J, Herrera F. Data preprocessing in data mining. Cham, Switzerland: Springer International Publishing; 2015.

[21] Hodge V, Austin J. A survey of outlier detection methodologies. Artificial Intelligence Review. 2004;22:85-126.

[22] Han J, Pei J, Tong H. Data mining: Concepts and techniques. Morgan Kaufmann. 2022.

[23] de Siqueira Santos S, Takahashi DY, Nakata A, et al. A comparative study of statistical methods used to identify dependencies between gene expression signals. Briefings in Bioinformatics. 2014;15(6):906-918.

[24] Wang H, Zhong Q. A new approach to fuzzy evaluation of Metro operation safety based on entropy-weight and analytic hierarchy process. In: Proceedings of 2018 International Seminar on Computer Science and Engineering Technology (SCSET2018). Faculty of Management and Economics, Dalian University of Technology; 2018:5.