Papers matching “explainable machine learning” 36
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Explainable Machine Learning for prediction and monitoring of compressive strength in LC3 production2026 Zenodo (CERN European Organization for Nuclear Research) preprint Engineering Concrete and Cement Materials Research Open access
Thorsten Kalb, Ismael Kithinji Kinoti, Wilson Ricardo Leal da Silva, Chiara Masiero, Gian Antonio Susto
0citations -
Explainable Machine Learning for prediction and monitoring of compressive strength in LC3 production2026 Zenodo (CERN European Organization for Nuclear Research) preprint Engineering Mineral Processing and Grinding Open access
Thorsten Kalb, Ismael Kithinji Kinoti, Wilson Ricardo Leal da Silva, Chiara Masiero, Gian Antonio Susto
0citations -
High‐Speed 3D Printing Coupled with Machine Learning to Accelerate Alloy Development for Additive Manufacturing2025 Advanced Science article Engineering Additive Manufacturing Materials and Processes Open access
Avinash Hariharan, Marc Ackermann, Stephan Koß, Ali Khosravani, Johannes Henrich Schleifenbaum, Patrick Köhnen, +2 more
22citations -
A general tree-based machine learning accelerator with memristive analog CAM2022 IEEE International Symposium on Circuits and Systems proceedings conference-paper Engineering Advanced Memory and Neural Computing
Giacomo Pedretti, Sergey Serebryakov, John Paul Strachan, Catherine E. Graves
4citations -
Detecting the extent of co-existing anomalies in additively manufactured metal matrix composites through explainable selection and fusion of multi-camera deep learning features2025 Virtual and Physical Prototyping article Engineering Industrial Vision Systems and Defect Detection Open access
Mutahar Safdar, Gentry Wood, Max Zimmermann, Guy Lamouche, Priti Wanjara, Yaoyao Fiona Zhao
9citations -
Inline Testing Method Based On Paschen’s Law With Integrated Machine Learning For Hairpin Stator Production2020 International Electric Drives Production Conference conference-paper Engineering Electrical Fault Detection and Protection cited by 3 patents
Achim Kampker, Sebastian Kawollek, Patrick Treichel, Andreas Kraus, Max Wendler, Mathias Linde
2citations -
Machine-Learning Based Approximation of the Hierarchical Model Predictive Control of Multi-Use PV-Battery Systems in Non-Residential Buildings1citations
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Towards a data-driven assistance system for operating segment erectors in tunnel boring machines2021 International Symposium on Computational Intelligence and Design conference-paper Engineering Tunneling and Rock Mechanics
Hans Aoyang Zhou, Aymen Gannouni, Christian Gentz, Johannes Tröndle, Stephan Neumann, Anas Abdelrazeq, +2 more
3citations