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Papers matching “active learning” 11

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Graph Neural Network-Based Multi-Agent Reinforcement Learning for Active Voltage Control: Performance and Topology Robustness
2025 SSRN Electronic Journal preprint Engineering Optimal Power Flow Distribution Open access

Chijioke Eze, Chetan Prakash, Antonello Monti

0

citations
Benchmarking five physics-guided machine learning approaches for model predictive control in building energy systems
2026 SSRN Electronic Journal preprint Engineering Building Energy and Comfort Optimization Open access

Patrick Henkel, Martin Rätz, Dirk Müller

0

citations
Three-Dimensional Damage Characterisation in Dual Phase Steel using Deep Learning
2023 arXiv (Cornell University) preprint Engineering Microstructure and Mechanical Properties of Steels Open access

Setareh Medghalchi, Sang-Hyeok Lee, Benjamin Berkels, U. Kerzel, Sandra Korte‐Kerzel

0

citations
Electric Machine Co-Optimization: System Design Process Using Bayesian Optimization and Nonlinear Model Predictive Control
2024 SSRN Electronic Journal preprint Engineering Electric and Hybrid Vehicle Technologies Open access

Christoph Wellmann, Abdul Rahman Khaleel, Tobias Brinkmann, Alexander Wahl, Christian Monissen, Markus Eisenbarth, +1 more

0

citations
Thermodynamics-Consistent Graph Neural Networks
2024 arXiv (Cornell University) preprint Engineering Phase Equilibria and Thermodynamics Open access

Jan G. Rittig, Alexander Mitsos

1

citations
Benefits of Low-Cost Bio-Inspiration in the Age of Overparametrization
2026 arXiv (Cornell University) preprint Engineering Robotic Locomotion and Control Open access

Kevin Godin-Dubois, Anil Yaman, Anna V. Kononova

0

citations
On Process Awareness in Detecting Multi-stage Cyberattacks in Smart Grids
2024 Qeios preprint Engineering Smart Grid Security and Resilience Open access

Ömer Sen, Yanico Aust, Simon Glomb, Andreas Ulbig

1

citations
On Process Awareness in Detecting Multi-stage Cyberattacks in Smart Grids
2024 arXiv (Cornell University) preprint Engineering Smart Grid Security and Resilience Open access

Ömer Sen, Yanico Aust, Simon Glomb, Andreas Ulbig

0

citations
Gibbs-Duhem-Informed Neural Networks for Binary Activity Coefficient Prediction
2023 arXiv (Cornell University) preprint Engineering Phase Equilibria and Thermodynamics Open access

Jan G. Rittig, Kobi Felton, Alexei A. Lapkin, Alexander Mitsos

1

citations
Sparse Axonal and Dendritic Delays Enable Competitive SNNs for Keyword Classification
2026 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Younes Bouhadjar, Emre Neftci

0

citations
Generative AI in Industrial Machine Vision -- A Review
2024 arXiv (Cornell University) preprint Engineering Industrial Vision Systems and Defect Detection Open access

Hans Aoyang Zhou, Dominik Wolfschläger, Constantinos Florides, Jonas Werheid, Hannes Behnen, Jan-Henrik Woltersmann, +4 more

0

citations

11 results