Compositional Generative Inverse Design: An Innovative Approach to Complex Design Problems
Durch die Komposition von Diffusionsmodellen ermöglicht CinDM die Generierung komplexerer Designs als im Training gesehen.
Compositional Generative Inverse Design: A Paradigm for Complex System Optimization
Optimizing complex systems through compositional generative inverse design.
Optimierung der Online-Feedback-Abstimmung für Sollwertverfolgung in Zentrifugalkompressoren
Optimierung der Parameter und Abstimmung des Sampling-Zeitpunkts verbessert die Leistung von OFO-Controllern in Zentrifugalkompressoren.
Centrifugal Compressor Setpoint Tracking Optimization with Online Feedback
Online Feedback Optimization controllers improve system performance by tuning parameters and sampling time for optimal setpoint tracking in centrifugal compressors.
Koiter's Model for Elliptic Membrane Shell Analysis with Penalty Method
Analysis of Koiter's model for elliptic membrane shells using the penalty method.
Named Entity Understanding for News Captioning
Named entity understanding in news captioning relies on commonsense knowledge to distinguish and describe entities effectively.
Gradient-free Neural Topology Optimization: Enhancing Efficiency with Latent Reparameterization
Neural reparameterization in latent space significantly improves gradient-free topology optimization efficiency.
Gradient-free Neural Topology Optimization: Enhancing Efficiency with Latent Space Reparameterization
Pre-trained neural reparameterization in latent space significantly improves gradient-free topology optimization efficiency.
Filling and Spilling: Deep Reinforcement Learning for Reservoir Operation
Deep Reinforcement Learning methods optimize reservoir operation policies efficiently.
CFST Column Axial Capacity Prediction with Domain Knowledge Enhanced ML Framework
ML framework integrating domain knowledge improves CFST axial capacity prediction accuracy.
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