Multivariate Prediction Framework of Ocean Sensing Data Assisting Red Tide Early warning
Author:
Funder
the Science and Technology Project of Hebei Education Department
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-023-07788-8.pdf
Reference42 articles.
1. Sakamoto, S.; Lim, W.; Lu, D.; et al.: Harmful algal blooms and associated fisheries damage in East Asia: Current status and trends in China, Japan, Korea and Russia. Harmful Algae 102, 101787 (2021)
2. Ban, W.; Zhang, K.; Yu, K.; et al.: Detection of red tide over sea surface using GNSS-R spaceborne observations. IEEE Trans. Geosci. Remote Sens. 60, 1–11 (2022)
3. Yang, J.; Wen, J.; Wang, Y.; et al.: Fog-based marine environmental information monitoring toward ocean of things. IEEE Internet Things J. 7(5), 4238–4247 (2020)
4. Guo, H.; Li, J.; Liu, J.; et al.: A survey on space-air-ground-sea integrated network security in 6G. IEEE Commun. Surv. Tutor. 24(1), 53–87 (2022)
5. Wen, J.; Yang, J.; Jiang, B.; et al.: Big data driven marine environment information forecasting: a time series prediction network. IEEE Trans. Fuzzy Syst. 29(1), 4–18 (2020)
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