Showing 1–10 of 10 results
/ Date/ Name
Jul 23, 2024Evapotranspiration trends over the last 300 years reconstructed from historical weather station observations via machine learningMar 17, 2024Potential of Domain Adaptation in Machine Learning in Ecology and Hydrology to Improve Model ExtrapolabilityJun 2, 2024Extrapolability Improvement of Machine Learning-Based Evapotranspiration Models via Domain-Adversarial Neural NetworksSep 13, 2023Global pattern and mechanism of terrestrial evapotranspiration change indicated by weather stationsAug 13, 2024Approaches for enhancing extrapolability in process-based and data-driven models in hydrologyMay 25, 2024Impacts of extreme weather events on terrestrial carbon sequestration revealed by weather stations in the Northern HemisphereApr 5, 2022To reduce soil salinity: the role of irrigation and water management in global arid regions across development phasesSep 3, 2025A Dataset of Weather Station-Scale Photosynthetic Phenology in Mid- to High-Latitude Regions of the Northern HemisphereFeb 22, 2025AIBrix: Towards Scalable, Cost-Effective Large Language Model Inference InfrastructureJul 17, 2025PolyServe: Efficient Multi-SLO Serving at Scale