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Unlocking the potential of unlabeled data: Self-supervised machine learning for battery aging diagnosis with real-world field data2024 Journal of Energy Chemistry article Engineering Advanced Battery Technologies Research Open access
Qiao Wang, Min Ye, Sehriban Celik, Zhongwei Deng, Bin Li, Dirk Uwe Sauer, +1 more
32citations -
Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight2023 arXiv (Cornell University) preprint Engineering Building Energy and Comfort Optimization Open access
Antonio Liguori, Matías Quintana, Chun Fu, Clayton Carl Miller, Jérôme Frisch, Christoph van Treeck
0citations -
Approach to Generate a Simple Semantic Data Model from 2D Bridge Plans using AI-based Text Recognition2023 European Safety and Reliability Conference (ESREL) conference-paper Engineering BIM and Construction Integration Open access
Peter Gölzhäuser, Mengyan Peng, Jan‐Iwo Jäkel, Katharina Klemt‐Albert, Steffen Marx
3citations -
Prediction of Fault Rock Permeability With Deep Learning: Training Data from Transfer Samples of Fault Cores2022 EAGE Annual Conference & Exhibition conference-paper Engineering Hydrocarbon exploration and reservoir analysis
Joyce Schmatz, Jop Klaver, Eva Wellmann, Mingming Jiang, Wolf- Gang Kraus, Simon Freitag, +2 more
0citations -
Analysis code and derived data for: Demographic Shortcuts Account for Most of the Apparent Accuracy of Four-Class Gait-Based Differential Diagnosis in Neurodegenerative Disease: An Interpretability-Driven Audit of Machine Learning on a Public Gait Benchmark0citations