Anke Schmeink
Hat mitgewirkt an:
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UR-EARL: A framework for designing underwater robots using evolutionary algorithm-driven reinforcement learning
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A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study
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A Novel Hybrid Methodology for Anomaly Detection in Time Series
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Two-stage visual speech recognition for intensive care patients