Concepedia

Deep transfer learning based on transformer for flood forecasting in data-sparse basins

Yuanhao Xu, Kairong Lin, Caihong Hu, Qiang Wu, Li Zhang, Guang Ran

Journal of Hydrology · 2023 · 135 citations · 59 references

Concepts

Natural ResourcesHydrologyWater Resources ManagementFlood HydrologyHydrologic ForecastingWater Resources EngineeringDeep LearningFlood ForecastingFlood Inundation ModelingHydrologic Time Series AnalysisReal-time ForecastingReservoir ForecastingConvolutional Forecasting ModelsDeep Learning For Time Series ForecastingDeep Learning-based ForecastingFlood Inundation ForecastingReal-time Flood PredictionRiver Flood ForecastingTransfer Learning For Time Series Forecasting

References

59

Long Short-Term Memory

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Computing, Computer Science, Algorithms +16

A Survey on Transfer Learning

Sinno Jialin Pan, Qiang Yang · IEEE Transactions on Knowledge and Data Engineering · 2009 · 23.2K citations

Computing, Computer Science, Data Mining +12

Transformer-XL: Attentive Language Models beyond a Fixed-Length Context

Zihang Dai, Zhilin Yang, Yiming Yang et al. · 2019 · 3.1K citations · Full text

Computing, Computer Science, Computational Linguistics +16

Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks

Frederik Kratzert, Daniel Klotz, Claire Brenner et al. · Hydrology and earth system sciences · 2018 · 1.8K citations · Full text

Natural Resources, Earth Sciences, Hydrology +11

Climate change impact on flood and extreme precipitation increases with water availability

Hossein Tabari · Scientific Reports · 2020 · 1.5K citations · Full text

Natural Resources, Earth Sciences, Hydrology +17