Presentation of a novel cutting technology for precision machining of hardened, rotationally symmetric parts. - Fritz Klocke; Thomas Bergs; Florian Degen; Philipp Ganser (Prod. Eng., 2013)

Comparison of rotational turning and hard turning regarding surface generation. - Florian Degen; Fritz Klocke; Thomas Bergs; Philipp Ganser (Prod. Eng., 2014)

Reconfigurable Robotic Solution for Effective Finishing of Complex Surfaces. - Sebastian Hahnel; Fabio Pini; Francesco Leali; Olaf Dambon; Thomas Bergs; Thomas Bletek (ETFA, 2018)

Dataflow Challenges in an Internet of Production: A Security & Privacy Perspective. - Jan Pennekamp; Martin Henze; Simo Schmidt; Philipp Niemietz; Marcel Fey; Daniel Trauth; Thomas Bergs; Christian Brecher; Klaus Wehrle (CPS-SPC@CCS, 2019)

Model-based Predictive Force Control in Milling. - Sebastian Stemmler; Muzaffer Ay; Max Schwenzer; Dirk Abel; Thomas Bergs (ECC, 2019)

A Case for Integrated Data Processing in Large-Scale Cyber-Physical Systems. - René Glebke; Martin Henze; Klaus Wehrle; Philipp Niemietz; Daniel Trauth; Patrick Mattfeld; Thomas Bergs (HICSS, 2019)

Towards an Infrastructure Enabling the Internet of Production. - Jan Pennekamp; René Glebke; Martin Henze; Tobias Meisen; Christoph Quix; Rihan Hai 001; Lars Christoph Gleim; Philipp Niemietz; Maximilian Rudack; Simon Knape; Alexander Epple; Daniel Trauth; et al. (ICPS, 2019)

Private Multi-Hop Accountability for Supply Chains. - Jan Pennekamp; Lennart Bader; Roman Matzutt; Philipp Niemietz; Daniel Trauth; Martin Henze; Thomas Bergs; Klaus Wehrle (ICC Workshops, 2020)

FactDAG: Formalizing Data Interoperability in an Internet of Production. - Lars Christoph Gleim; Jan Pennekamp; Martin Liebenberg; Melanie Buchsbaum; Philipp Niemietz; Simon Knape; Alexander Epple; Simon Storms; Daniel Trauth; Thomas Bergs; Christian Brecher; Stefan Decker; et al. (IEEE Internet Things J., 2020)

Support vector regression to correct motor current of machine tool drives. - Max Schwenzer; Thomas Auerbach; Kazumasa Miura; Benjamin Döbbeler; Thomas Bergs (J. Intell. Manuf., 2020)

Recurrent Online and Transfer Learning of a CNC-Machining Center with Support Vector Machines. - Muzaffer Ay; Max Schwenzer; Dirk Abel; Thomas Bergs (ISIE, 2021)

Detecting Out-Of-Control Sensor Signals in Sheet Metal Forming using In-Network Computing. - Ike Kunze; Philipp Niemietz; Liam Tirpitz; René Glebke; Daniel Trauth; Thomas Bergs; Klaus Wehrle (ISIE, 2021)

Investigations on the Application of the Downhill-Simplex-Algorithm to the Inverse Determination of Material Model Parameters for FE-Machining Simulations. - Marvin Hardt; D. Schraknepper; Thomas Bergs (Simul. Model. Pract. Theory, 2021)

Practical Nonlinear Model Predictive Control of a CNC Machining Center with Support Vector Machines. - Muzaffer Ay; Max Schwenzer; Sebastian Stemmler; Adrian Karl Rüppel; Dirk Abel; Thomas Bergs (AIM, 2022)

Relating wear stages in sheet metal forming based on short- and long-term force signal variations. - Philipp Niemietz; Mia J. K. Kornely; Daniel Trauth; Thomas Bergs (J. Intell. Manuf., 2022)

Model predictive force control in milling based on an ensemble Kalman filter. - Max Schwenzer; Sebastian Stemmler; Muzaffer Ay; Adrian Karl Rüppel; Thomas Bergs; Dirk Abel (J. Intell. Manuf., 2022)

Methodical assessment of the value of sensory captured data regarding the suitability for influencing manufacturing process goals. - Johannes Mayer; Tobias Kaufmann 005; Philipp Niemietz; Thomas Bergs (ISM, 2023)

Hybrid Intelligence in Production Systems and Its Effects on Human Work: Insights from Four Use-Cases. - Nikolas J. Schierhorst; Laura Johnen; Christian Fimmers; Vincent Lohrmann; Josefine Monnet; Hanwen Zhang; Thomas Bergs; Christian Brecher; Alexander Mertens; Verena Nitsch (ISM, 2023)

Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead. - Jan Pennekamp; Anastasiia Belova; Thomas Bergs; Matthias Bodenbenner; Andreas Bührig-Polaczek; Markus Dahlmanns; Ike Kunze; Moritz Kröger; Sandra Geisler; Martin Henze; Daniel Lütticke; Benjamin Montavon; et al. (CoRR, 2023)

Mass Loss and Displacement Modeling for Multi-Axis Milling. - Adrian Karl Rüppel; Patrick Ochudlo; Mathias Bickel; Sebastian Stemmler; Thomas Bergs; Dirk Abel (CoRR, 2023)

Deep Learning Based Tool Wear Estimation Considering Cutting Conditions. - Zongshuo Li; Markus Meurer; Thomas Bergs (CoRR, 2024)

Deep Learning Approach for Enhanced Transferability and Learning Capacity in Tool Wear Estimation. - Zongshuo Li; Markus Meurer; Thomas Bergs (CoRR, 2024)

Efficient Cutting Tool Wear Segmentation Based on Segment Anything Model. - Zongshuo Li; Ding Huo; Markus Meurer; Thomas Bergs (CoRR, 2024)

Data-driven indirect punch wear monitoring in sheet-metal stamping processes. - Martin Unterberg; Marco Becker; Philipp Niemietz; Thomas Bergs (J. Intell. Manuf., 2024)

Reducio: Data Aggregation and Stability Detection for Industrial Processes Using In-Network Computing. - Liam Tirpitz; Ike Kunze; Philipp Niemietz; Anna Kathrin Gerhardus; Thomas Bergs; Klaus Wehrle; Sandra Geisler (DEBS, 2025)

Advancing data-driven process modeling in metal forming. - Mathias Liewald; Birgit Vogel-Heuser; Thomas Bergs; Marco F. Huber; Peer Kröger (Autom., 2025)