A noval approach based on TCN-LSTM network for predicting waterlogging depth with waterlogging monitoring station
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DOI: 10.1371/journal.pone.0286821
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- Bahrudin Hrnjica & Ognjen Bonacci, 2019. "Lake Level Prediction using Feed Forward and Recurrent Neural Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(7), pages 2471-2484, May.
- Jing Huang & Jinle Kang & Huimin Wang & Zhiqiang Wang & Tian Qiu, 2020. "A Novel Approach to Measuring Urban Waterlogging Depth from Images Based on Mask Region-Based Convolutional Neural Network," Sustainability, MDPI, vol. 12(5), pages 1-15, March.
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