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FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy for client selection in Federated Learning using Reinforcemen…
The STF-LST Dataset is a robust foundation for developing and evaluating innovative spatio-temporal fusion techniques, specifically designed to address the challenges of land surface temperature es…
WGAST (Weakly-Supervised Generative Network for Daily 10 m Land Surface Temperature Estimation via Spatio-Temporal Fusion) is a novel deep learning framework for spatio-temporal fusion of satellite…