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Detection of abnormal SOH estimates in battery field data using statistical learning2025 Cell Reports Physical Science article Engineering Advanced Battery Technologies Research Open access
Valentin Steininger, Katharina Lilith Quade, Katharina Rumpf, Stephan Bihn, Jürgen Ringler, Dirk Uwe Sauer, +1 more
3citations -
ESAFORM Benchmark 2025: predicting stainless steel PBF-LB part density using statistical, data-driven, and physics-informed machine learning models derived from process parameters and in-situ monitoring data2026 International Journal of Material Forming article Engineering Additive Manufacturing Materials and Processes Open access cited by 1 patent
Medad C.C. Monu, Éanna McCarthy, Abhilash Puthanveettil Madathil, Josiah Cherian Chekotu, Irina Ilic, Merve Nur Doğu, +14 more
4citations -
Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees10citations
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ESAFORM Benchmark 2025: predicting stainless steel PBF-LB part density using statistical, data-driven, and physics-informed machine learning models derived from process parameters and in-situ monitoring data2026 International Journal of Material Forming article Engineering Additive Manufacturing Materials and Processes Open access
Medad Chiedozie C. Monu, Éanna McCarthy, Abhilash Puthanveettil Madathil, Josiah Cherian Chekotu, Irina Ilic, Merve Nur Doğu, +14 more
0citations -
Automated Machine Learning for Remaining Useful Life Estimation of Aircraft Engines2021 IEEE Conference on Prognostics and Health Management conference-paper Engineering Machine Fault Diagnosis Techniques Open access
Marios Kefalas, Mitra Baratchi, Asteris Apostolidis, Dirk van den Herik, Thomas Bäck
18citations -
A Spatio-Temporal Ensemble Deep Learning Architecture for Real-Time Defect Detection during Laser Welding on Low Power Embedded Computing Boards2021 Sensors article Engineering Industrial Vision Systems and Defect Detection Open access cited by 1 patent
Christian Knaak, Jakob von Eßen, Moritz Kröger, Frederic Schulze, Arnold Gillner
71citations -
ML-SAFT: A machine learning framework for PCP-SAFT parameter prediction2024 Chemical Engineering Journal article Engineering Phase Equilibria and Thermodynamics Open access
Kobi Felton, Lukas Raßpe-Lange, Jan G. Rittig, Kai O. Leonhard, Alexander Mitsos, Julian Meyer‐Kirschner, +2 more
33citations -
Identification of Martensite Bands in Dual‐Phase Steels: A Deep Learning Object Detection Approach Using Faster Region‐Based‐Convolutional Neural Network2023 steel research international article Engineering Microstructure and Mechanical Properties of Steels Open access
Niklas C. Fehlemann, Ana Lia Suarez Aguilera, Stefan Sandfeld, Maximilian Neite, David Lenz, Markus Könemann, +1 more
9citations -
Three-dimensional characterisation of deformation-induced damage in dual phase steel using deep learning2023 Materials & Design article Engineering Microstructure and Mechanical Properties of Steels Open access
Setareh Medghalchi, Sang-Hyeok Lee, Benjamin Berkels, U. Kerzel, Sandra Korte‐Kerzel
16citations -
Automated Carbonate Reservoir Pore and Fracture Classification by Multiscale Imaging and Deep Learning2021 EAGE Annual Conference & Exhibition conference-paper Engineering Hydrocarbon exploration and reservoir analysis
Jop Klaver, Joyce Schmatz, Rongjin Wang, Mingming Jiang, Lucas M. Kleipool, Antonino Cilona, +1 more
1citations