ELMShip: An Efficient Ship Classifier Using Extreme Learning Machines
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-21678-7_13
Reference23 articles.
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2. Akusok, A., Espinosa Leal, L., Björk, K.M., Lendasse, A., Hu, R.: Handwriting features based detection of fake signatures. In: The 14th Pervasive Technologies Related to Assistive Environments Conference, pp. 86–89 (2021)
3. Chen, Z., Chen, D., Zhang, Y., Cheng, X., Zhang, M., Wu, C.: Deep learning for autonomous ship-oriented small ship detection. Saf. Sci. 130, 104812 (2020)
4. de Vos, J., Hekkenberg, R.G., Valdez Banda, O.A.: The impact of autonomous ships on safety at sea—a statistical analysis. Reliab. Eng. Syst. Saf. 210, 107558 (2021). https://doi.org/10.1016/j.ress.2021.107558, https://www.sciencedirect.com/science/article/pii/S0951832021001113
5. EMSA: annual overview of marine casualties and incidents 2019 (2019)
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