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TEEMLEAP—A New Testbed for Exploring Machine Learning in Atmospheric Prediction for Research and Education
Published 2025-07-01“…To address these challenges, an interdisciplinary team of scientists from the Karlsruhe Institute of Technology (KIT) and the German Meteorological Service (DWD) created the TEstbed for Exploring Machine LEarning in Atmospheric Prediction (TEEMLEAP). …”
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Wide angle tolerant solar spectral splitter for lateral tandem solar cells
Published 2025-06-01Get full text
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Automated manufacturing process for sustainable prototyping of nuclear magnetic resonance transceivers
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Coherence locking in a parallel nuclear magnetic resonance probe defends against gradient field spillover
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Beyond short-termism: Strategies and perspectives for the long-term governance of socio-technical change
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Navigating the future: Strategies for the long-term governance of socio-technical change
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Decision-focused fine-tuning of time series foundation models for dispatchable feeder optimization
Published 2025-09-01Get full text
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Improvement of Positive and Negative Feedback Power Hardware-in-the-Loop Interfaces Using Smith Predictor
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Open energy services: forecasting and optimization as a service for energy management applications at scale
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Analysis of the Utilization of Machine Learning to Map Flood Susceptibility
Published 2025-06-01Get full text
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