Using AI to Monitor Marine Environmental Pollution: Systematic Review
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-45214-7_5
Reference22 articles.
1. Ullo, S. L., & Sinha, G. R. (2020). Advances in smart environment monitoring systems using IoT and sensors. Sensors, 20(11), 3113.
2. Ye, Z., Yang, J., Zhong, N., Tu, X., Jia, J., & Wang, J. (2020). Tackling environmental challenges in pollution controls using artificial intelligence: A review. Science of the Total Environment, 699, 134279.
3. Thombre, S., Zhao, Z., Ramm-Schmidt, H., García, J. M. V., Malkamäki, T., Nikolskiy, S., et al. (2020). Sensors and AI techniques for situational awareness in autonomous ships: A review. IEEE Transactions on Intelligent Transportation Systems, 23(1), 64–83.
4. Fallati, L., Polidori, A., Salvatore, C., Saponari, L., Savini, A., & Galli, P. (2019). Anthropogenic marine debris assessment with unmanned aerial vehicle imagery and deep learning: A case study along the beaches of the Republic of Maldives. Science of the Total Environment, 693, 133581.
5. O’Donncha, F., & Grant, J. (2019). Precision aquaculture. IEEE Internet of Things Magazine, 2(4), 26–30.
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