A noval approach based on TCN-LSTM network for predicting waterlogging depth with waterlogging monitoring station - Yao, Jinliang; Cai, Zhipeng; Qian, Zheng; Yang, Bing (PloS one, 2023)
Keywords: Accuracy; Algorithms; Analysis; Biology and Life Sciences; Casualties; Climate change; Climatic changes; Computer and Information Sciences; Data acquisition; Data entry; Deep learning; Developing countries; Early warning systems; Earth Sciences; Economic conditions; Emergency communications systems; Emergency preparedness; Emergency response; Emergency warning programs; Environmental monitoring; Environmental protection; Evaluation; Forecasts and trends; Fuzzy logic; Gauges; Hydrologic data; Hydrologic models; Hydrology; Internet of Things; LDCs; Long short-term memory; Machine learning; Modelling; Monitoring; Neural networks; Object recognition; Physical Sciences; Predictions; Rain; Rain and rainfall; Rain gauges; Rainfall; Rainstorms; Remote sensing; Research and Analysis Methods; Sensors; Social networks; Social organization; Surveillance; Time series; Traffic surveillance; Urbanization; Water depth; Waterlogging; China