Andriashev AP, Mukhomediyarov BF, Pavshtiks EA (1980) On mass congregations of the cryopelagic cod fishes (Boreogadus saida and Arctogadus glacialis) in circumpolar Arctic Basins. In: Vinogradov ME, Melnikov IA (eds) Biology of the central Arctic Basin. Nauka Science Press, pp 196–211

Development of stereo camera methodologies to improve pelagic fish biomass estimates and inform ecosystem management in marine waters - Boldt, J. L.; Williams, K.; Rooper, C. N.; Towler, R. H.; Gauthier, S. (Fish Res, 2018)

MC-YOLOv5: a multi-class small object detection algorithm - Chen, H. N.; Liu, H. Y.; Sun, T.; Lou, H. T.; Duan, X. H.; Bi, L. Y. (Biomimetics, 2023)

MF-ID: a benchmark and approach for multi-category fine-grained intrusion detection - Cheng, T.; Wang, W. (IEEE Trans Autom Sci Eng, 2025)

A new ecosystem model for Arctic phytoplankton phenology from ice-covered to open-water periods: implications for future sea ice retreat scenarios - Choi, J. G.; Matsuoka, A.; Manizza, M.; Carroll, D.; Dutkiewicz, S.; Lippmann, T. (Geophys Res Lett, 2024)

Analysis of changes in Arctic sea ice and its influencing factors during 1979–2022 - Deng, L. J.; Jin, B. W.; Quan, M. Y.; Wang, A. M.; Fan, W. J.; Wang, H. (Mar Sci Bull, 2024)

Lightweight aerial image object detection algorithm based on improved YOLOv5s - Deng, L. X.; Bi, L. Y.; Li, H. Q.; Chen, H. N.; Duan, X. H.; Lou, H. T. (Sci Rep, 2023)

Behavioural studies of fish vision: an analysis of visual capabilities - Douglas, R. H.; Hawryshyn, C. W. (Chapman and Hall, 1990)

Interaction between three key species in the sea ice-reduced Arctic Barents Sea system - Durant, J. M.; Dupont, N.; Ono, K.; Langangen, Ø. (Proc R Soc Lond B Biol Sci, 2024)

Durve M, Orsini S, Tiribocchi A, Montessori A, Tucny JM, Lauricella M et al (2023) Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications. Preprint at arXiv:2301.08189. https://doi.org/10.48550/arXiv.2301.08189

Multi-year acoustic tracking reveals transient movements, recurring hotspots, and apparent seasonality in the coastal-offshore presence of Greenland sharks (Somniosus microcephalus) - Edwards, J. E.; Hedges, K. J.; Kessel, S. T.; Hussey, N. E. (Front Mar Sci, 2022)

First application of 360-degree camera technology to marine predator bio-logging - Gallagher, A. J.; Alsudairy, N. A.; Shea, B. D.; Payne, N. L.; Duarte, C. M. (Front Mar Sci, 2021)

Golikov AV, Stauffer JB, Schindler SV, Taylor J, Boehringer L, Purser A et al (2023) Video observations of a bathypelagic cirrate octopod Cirroteuthis muelleri. PANGAEA. https://doi.org/10.1594/PANGAEA.957196

He ZJ, Wang K, Fang T, Su L, Chen R, Fei XH (2024) Comprehensive performance evaluation of YOLOv11, YOLOv10, YOLOv9, YOLOv8 and YOLOv5 on object detection of power equipment. In: 2025 37th Chinese Control and Decision Conference (CCDC). IEEE, pp 1281–1286. https://xplorestaging.ieee.org/document/11090973/citations#citations

Glacial meltwater increases coastal carbon dioxide uptake and sensitivity to biogeochemical change - Henson, H. C.; Puts, I. C.; Sejr, M. K.; Sørense, J. L.; Holding, J. M. (Commun Earth Environ, 2025)

Year-round monitoring of Arctic species of sculpin to identify residency and seasonality of movement behavior - Hermann, N. T.; Hammer, L. J.; Hussey, N. E.; Marcoux, M.; Hedges, K. J.; Walter, R. P. (Can J Fish Aquat Sci, 2023)

Geographic variation in population structure and grazing features of Calanus glacialis/marshallae in the Pacific Arctic Ocean - Ishihara, M.; Matsuno, K.; Tokuhiro, K.; Ando, Y.; Sato, K.; Yamaguchi, A. (Front Mar Sci, 2023)

Jiang YQ, Xu JX, Ye L, Cao J, Li YM, Hou DD (2023) AUV applications and technologies of deep sea exploration in the Arctic: a review. In: Yang D (ed) METSD 2023. Lecture notes in civil engineering, vol 375. Springer, Singapore, pp 372–384. https://doi.org/10.1007/978-981-99-4291-6_28

Exploring a multimodal mixture-of-YOLOs framework for advanced real-time object detection - Kim, J.; Cho, J. (Appl Sci-Basel, 2020)

PETDet: proposal enhancement for two-stage fine-grained object detection - Li, W. T.; Zhao, D. P.; Yuan, B.; Gao, Y.; Shi, Z. W. (IEEE Trans Geosci Remote Sens, 2024)

DLFE-YOLO: an enhanced framework for underwater object detection based on YOLOv8 - Lin, Y. H.; Zhang, Y. Y.; Yang, D. S.; Zhou, Y. K. P.; Wang, L. T. (Intell Mar Technol Syst, 2025)

Bi2F-YOLO: a novel framework for underwater object detection based on YOLOv7 - Liu, X. P.; Zhao, K. K.; Liu, C.; Chen, L. (Intelligent Marine Technology and Systems, 2025)

Benthic biodiversity by baited camera observations on the Cosmonaut Sea shelf of East Antarctica - Mou, J. F.; He, X. B.; Liu, K.; Huang, Y. Q.; Zhang, S. Y.; Zu, Y. C. (Diversity-Basel, 2024)

Unexpected fish and squid in the central Arctic deep scattering layer - Snoeijs-Leijonmalm, P.; Flores, H.; Sakinan, S.; Hildebrandt, N.; Svenson, A.; Castellani, G. (Sci Adv, 2022)

Winter abundance of Arctogadus glacialis in the Polar Basin - Walters, V. (Copeia, 1961)

Wildlife video object detection based on deep learning - Wang, S.; Lu, N.; Zheng, H.; Li, H.; Peng, J. G.; Zhang, T. (Forest Grassl Resour Res, 2024)

Improved small object detection algorithm CRL-YOLOv5 - Wang, Z. Y.; Men, S. J.; Bai, Y. T.; Yuan, Y. T.; Wang, J. M.; Wang, K. L. (Sensors, 2024)

Comparative analysis of YOLO series algorithms for UAV-based highway distress inspection: performance and application insights - Yang, Z. Y.; Lan, X.; Wang, H. (Sensors, 2025)