Research on Target Value Assessment Method Based on Attention Mechanism
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2275-4_11
Reference10 articles.
1. Chen, H., Cao, X., Hao, Y., Fan, J., Chen, D., Chen, D.: Multi-target threat assessment in unmanned cluster confrontation scenarios. In: 2020 3rd International Conference on Unmanned Systems (ICUS), pp. 785–790. IEEE (2020)
2. Fan, C., Fu, Q., Song, Y., Lu, Y., Li, W., Zhu, X.: A new model of interval-valued intuitionistic fuzzy weighted operators and their application in dynamic fusion target threat assessment. Entropy 24(12), 1825 (2022)
3. Guo, M., et al.: Attention mechanisms in computer vision: a survey. Comput. Visual Media 8(3), 331–368 (2022)
4. Jia, Y., Mingwei, L.: Air target threat assessment based on PCNN neural network. In: Fu, W., Gu, M., Niu, Y. (eds.) Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022), ICAUS 2022. Lecture Notes in Electrical Engineering, vol. 1010, pp. 3092–3102. Springer, Cham (2022). https://doi.org/10.1007/978-981-99-0479-2_285
5. Li, D., Liu, M., Zhang, S.: Underwater target threat assessment method based on Bayesian network. In: 2021 40th Chinese Control Conference (CCC), pp. 3363–3367. IEEE (2021)
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