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8 papers · 1 filter
Context-Aware Stochastic Modeling of Consumer Energy Resource Aggregators in Electricity Markets
Chatum Sankalpa, Ghulam Mohy-ud-din, Erik Weyer +1
Aggregators of consumer energy resources (CERs) like rooftop solar and battery energy storage (BES) face challenges due to their inherent uncertainties. A sensible approach is to u…
High-energy X-ray phase-contrast CT of an adult human chest phantom
Jannis N. Ahlers, Lorenzo D'Amico, Henriette Bast +15
Propagation-based phase-contrast X-ray imaging is a promising technique for in~vivo medical imaging, offering lower radiation doses than traditional attenuation-based imaging. Prev…
Can Large Language Models Correctly Interpret Equations with Errors?
Lachlan McGinness, Peter Baumgartner
This paper explores the potential of Large Language Models to accurately extract and translate equations from typed student responses into a standard format. This is a useful task…
PC-SRGAN: Physically Consistent Super-Resolution Generative Adversarial Network for General Transient Simulations
Md Rakibul Hasan, Pouria Behnoudfar, Dan MacKinlay +1
Machine Learning, particularly Generative Adversarial Networks (GANs), has revolutionised Super-Resolution (SR). However, generated images often lack physical meaningfulness, which…
Reinforcement learning for robust dynamic metabolic control
Sebastián Espinel-Ríos, River Walser, Dongda Zhang
Dynamic metabolic control allows key metabolic fluxes to be modulated in real time, enhancing bioprocess flexibility and expanding available optimization degrees of freedom. This i…
Reinforcement learning for efficient and robust multi-setpoint and multi-trajectory tracking in bioprocesses
Sebastián Espinel-Ríos, José L. Avalos, Ehecatl Antonio del Rio Chanona +1
Efficient and robust bioprocess control is essential for maximizing performance and adaptability in advanced biotechnological systems. In this work, we present a reinforcement-lear…