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Uplifting the Complexity of Analysis for Probabilistic Security of Electricity Supply Assessments Using Artificial Neural Networks2024 SSRN Electronic Journal preprint Engineering Electricity Theft Detection Techniques Open access
Justin Münch, Jan Priesmann, Marius Reich, Marius Tillmanns, Aaron Praktiknjo, Mario Adam
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Data-Driven Model Reduction and Nonlinear Model Predictive Control of an Air Separation Unit by Applied Koopman Theory2023 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Jan C. Schulze, Danimir T. Doncevic, Nils Erwes, Alexander Mitsos
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Trailing-Edge Noise Reduction using Porous Treatment and Surrogate-based Global Optimization2023 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Jan Rottmayer, Emre Özkaya, Sutharsan Satcunanathan, Beckett Yx Zhou, Max Aehle, Nicolas R. Gauger, +3 more
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Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization2024 arXiv (Cornell University) preprint Neuroscience Brain Tumor Detection and Classification Open access
Firas Khader, Omar S. M. El Nahhas, Tianyu Han, Gustav Anton Müller‐Franzes, Sven Nebelung, Jakob Nikolas Kather, +1 more
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Machine Learning Integrated with Model Predictive Control for Imitative Optimal Control of Compression Ignition Engines2022 arXiv (Cornell University) preprint Chemical Engineering Advanced Combustion Engine Technologies Open access
Armin Norouzi, Saeid Shahpouri, Alexander Winkler, Eugen Nuss
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Computing f-Divergences and Distances of High-Dimensional Probability Density Functions -- Low-Rank Tensor Approximations2021 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access
Alexander Litvinenko, Youssef Marzouk, Hermann Georg Matthies, Marco Scavino, Alessio Spantini
0citations