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Papers matching “machine learning models” 432

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Real-life data-driven model predictive control for building energy systems comparing different machine learning models
2024 Energy and Buildings article Engineering Building Energy and Comfort Optimization Open access

Phillip Stoffel, Max Berktold, Dirk Müller

71

citations
Real-Life Data-Driven Model Predictive Control for Building Energy Systems Comparing Different Machine Learning Models
2023 SSRN Electronic Journal preprint Engineering Building Energy and Comfort Optimization Open access

Phillip Stoffel, Max Berktold, Dirk Müller

3

citations
Guideline for Deployment of Machine Learning Models for Predictive Quality in Production
2022 Procedia CIRP article Engineering Digital Transformation in Industry Open access

Henrik Heymann, Alexander D. Kies, Maik Frye, Robert Heinrich Schmitt, Andrés Boza

18

citations
Development of a machine learning-based surrogate model for friction prediction in textured journal bearings
2024 Friction article Engineering Tribology and Lubrication Engineering Open access

Yujun Wang, Georg Jacobs, Shuo Zhang, Benjamin Klinghart, Florian König

11

citations
Creating a Real‐Time Capable Surrogate Model of a Wind Turbine Using Machine Learning
2025 Wind Energy article Engineering Wind Energy Research and Development Open access

Stefan Witter, Jakob Roth, Ralf Schelenz, Georg Jacobs

2

citations
Creating a Real-Time Capable Surrogate Model of a Wind Turbine Using Machine Learning
2024 preprint Engineering Wind Energy Research and Development Open access

Stefan Witter, Ralf Schelenz, Georg Jacobs

0

citations
Identifying the validity domain of machine learning models in building energy systems
2023 Energy and AI article Engineering Building Energy and Comfort Optimization Open access

Martin Rätz, Patrick Henkel, Phillip Stoffel, Rita Streblow, Dirk Müller

16

citations
Machine learning for image analysis in the cervical spine: Systematic review of the available models and methods
2022 Brain and Spine review Engineering Medical Imaging and Analysis Open access

Caroline M.W. Goedmakers, Leonie Pereboom, Jan W. Schoones, M. L. de Leeuw den Bouter, R.F. Remis, Marius Staring, +1 more

10

citations
Evaluation of process stability in precise electrochemical machining using machine learning models based on extracted features
2024 Procedia CIRP article Engineering Advanced Machining and Optimization Techniques Open access

Elio Tchoupe, Lukas Heidemanns, Ugur Küpper, A. Klink, Tim Herrig, Thomas Bergs

4

citations
Towards digital twins of waste sorting plants: Developing data-driven process models of industrial-scale sensor-based sorting units by combining machine learning with near-infrared-based process monitoring
2023 Resources Conservation and Recycling article Engineering Fault Detection and Control Systems Open access

Nils Kroell, Abtin Maghmoumi, Tobias Dietl, Xiaozheng Chen, Bastian Küppers, Tabea Scherling, +2 more

36

citations
Automated geological model updates during TBM operation – An approach based on probabilistic machine learning concepts
2022 Geomechanics and Tunnelling article Engineering Tunneling and Rock Mechanics

Florian Wellmann, Florian Amann, Miguel de la Varga, Nils Chudalla

4

citations
Discovery of fatigue strength models via feature engineering and automated eXplainable machine learning applied to the welded transverse stiffener
2025 International Journal of Fatigue article Engineering Fatigue and fracture mechanics Open access

Michael Anton Kraus, Helen Bartsch

9

citations
Machine Learning Integrated with Model Predictive Control for Imitative Optimal Control of Compression Ignition Engines
2022 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Armin Norouzi, Saeid Shahpouri, Alexander Winkler, Eugen Nuss

0

citations
Sensorless battery expansion estimation using electromechanical coupled models and machine learning
2025 Journal of Energy Chemistry article Engineering Advanced Battery Technologies Research Open access

Xue Cai, Caiping Zhang, Jue Chen, Zeping Chen, Linjing Zhang, Dirk Uwe Sauer, +1 more

21

citations
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 data
2026 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

4

citations
A Hardware-Aware Performance Analysis of Machine Learning Models for Sensor-Aided Millimeter-Wave Beam Prediction
2026 International Conference on Communications conference-paper Engineering Millimeter-Wave Propagation and Modeling Open access

Barış Sayitoğlu, Arish Sateesan, Marina Petrova, Ljiljana Simić

0

citations
Estimation of Potentials in Lithium-Ion Batteries Using Machine Learning Models
2021 IEEE Transactions on Control Systems Technology article Engineering Advanced Battery Technologies Research

Weihan Li, Damas W. Limoge, Dirk Uwe Sauer, Anuradha M. Annaswamy

41

citations
Assessment Framework for Deployability of Machine Learning Models in Production
2023 Procedia CIRP article Engineering Digital Transformation in Industry Open access

Henrik Heymann, Hendrik Mende, Maik Frye, Robert Heinrich Schmitt

7

citations
Improving Machine-Learning Diagnostics with Model-Based Data Augmentation Showcased for a Transformer Fault
2021 Energies article Engineering Power Transformer Diagnostics and Insulation Open access

Jannis Nikolas Kahlen, Albert Moser

9

citations
Performance comparison between model-based and machine learning approaches for the automated active alignment of FAC-lenses
2020 conference-paper Engineering Advanced optical system design

Maximilian Hoeren, Daniel Zontar, Armin Tavakolian, Susanne Ehret, Temirlan Mussagaliyev, Christian Brecher

2

citations
Identifying the Validity Domain of Machine Learning Models in Building Energy Systems
2023 SSRN Electronic Journal preprint Engineering Building Energy and Comfort Optimization Open access

Martin Rätz, Patrick Henkel, Phillip Stoffel, Rita Streblow, Dirk Müller

1

citations
Supervised Machine Learning Models for Identifying Critical Grid Situations in Voltage Stability Analyses
2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe) conference-paper Engineering Power System Optimization and Stability

Sophia Tepe, Niklas Brabeck, Albert Moser

0

citations
Identifying and Analyzing Data Model Requirements and Technology Potentials of Machine Learning Systems in the Manufacturing Industry of the Future
2020 International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS) conference-paper Engineering Digital Transformation in Industry

Günter Schuh, Thomas Leich, Richard May

7

citations
Machine Learning Integrated with Model Predictive Control for Imitative Optimal Control of Compression Ignition Engines
2022 IFAC-PapersOnLine article Engineering Advanced Control Systems Optimization Open access

Armin Norouzi, Saeid Shahpouri, David C. Gordon, Alexander Winkler, Eugen Nuss, Dirk Abel, +3 more

16

citations
Hybrid soft sensor modeling for the wire section in tissue manufacturing: integrating first-principles and machine learning models
2025 Nordic Pulp & Paper Research Journal article Engineering Fault Detection and Control Systems Open access

Rosario Othen, Chen Lu Song, Jan-Christoph Schlake, Christian Möbitz, Thomas Gries

0

citations