Pages that link to "Item:Q139606"
From geokb
The following pages link to Xiaowei Jia (Q139606):
Displayed 20 items.
- Graph-based reinforcement learning for active learning in real time: An application in modeling river networks (Q146037) (← links)
- Near-term forecasts of stream temperature using deep learning and data assimilation in support of management decisions (Q150101) (← links)
- Modeling reservoir release using pseudo-prospective learning and physical simulations to predict water temperature (Q150301) (← links)
- Physics-guided recurrent neural networks for predicting lake water temperature (Q150549) (← links)
- Multi-task deep learning of daily streamflow and water temperature (Q253766) (← links)
- Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations (Q256026) (← links)
- Stream temperature prediction in a shifting environment: The influence of deep learning architecture (Q257873) (← links)
- Partial differential equation driven dynamic graph networks for predicting stream water temperature (Q258651) (← links)
- Physics-guided machine learning from simulation data: An application in modeling lake and river systems (Q273872) (← links)
- Physics-guided graph meta learning for predicting water temperature and streamflow in stream networks (Q285953) (← links)
- Physics-guided recurrent graph model for predicting flow and temperature in river networks (Q287501) (← links)
- CGS: Coupled growth and survival model with cohort fairness (Q289410) (← links)
- Predicting water temperature dynamics of unmonitored lakes with meta-transfer learning (Q292218) (← links)
- Heterogeneous stream-reservoir graph networks with data assimilation (Q292369) (← links)
- Physics-guided machine learning for scientific discovery: An application in simulating lake temperature profiles (Q295199) (← links)
- Fair graph learning using constraint-aware priority adjustment and graph masking in river networks (Q304054) (← links)
- Invertibility aware integration of static and time-series data: An application to lake temperature modeling (Q306732) (← links)
- Process-guided deep learning predictions of lake water temperature (Q308420) (← links)
- Examining the influence of deep learning architecture on generalizability for predicting stream temperature in the Delaware River Basin (Q324344) (← links)
- Multi-task Deep Learning for Water Temperature and Streamflow Prediction (ver. 1.1, June 2022) (Q326264) (← links)
