Hasan Tercan

发表

Insights and Example Use Cases on Industrial Transfer Learning

T. Meisen, Benjamin Maschler, M. Weyrich, 2022, Procedia CIRP.

Combined learning processes for injection moulding based on simulation and experimental data

Tobias Meisen, Sabina Jeschke, Christian Hopmann, 2019, PROCEEDINGS OF PPS-33 : The 33rd International Conference of the Polymer Processing Society – Conference Papers.

Machine learning and deep learning based predictive quality in manufacturing: a systematic review

Hasan Tercan, Tobias Meisen, 2022, Journal of Intelligent Manufacturing.

Improving the laser cutting process design by machine learning techniques

Toufik Al Khawli, S. Jeschke, C. Büscher, 2017, Production Engineering.

Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer

Hasan Tercan, Tobias Meisen, Philipp Deibert, 2021, Journal of Intelligent Manufacturing.

Motion Planning for Industrial Robots using Reinforcement Learning

Christian Brecher, Tobias Meisen, Sabina Jeschke, 2017 .

Improving the laser cutting process design by machine learning techniques

Urs Eppelt, Tobias Meisen, Sabina Jeschke, 2017, Prod. Eng..

Use of Classification Techniques to Design Laser Cutting Processes

Urs Eppelt, Tobias Meisen, Sabina Jeschke, 2016 .

Curriculum Learning in Job Shop Scheduling using Reinforcement Learning

Hasan Tercan, Tobias Meisen, C. W. D. Puiseau, 2023, ArXiv.

Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer

Tobias Meisen, Hasan Tercan, Philipp Deibert, 2021, Journal of Intelligent Manufacturing.

Interdisciplinary Data Driven Production Process Analysis for the Internet of Production

Gerhard Lakemeyer, Tobias Meisen, Sabina Jeschke, 2018 .

Industrial Transfer Learning: Boosting Machine Learning in Production

Tobias Meisen, Hasan Tercan, Alexandro Guajardo, 2019, 2019 IEEE 17th International Conference on Industrial Informatics (INDIN).

Transfer-Learning: Bridging the Gap between Real and Simulation Data for Machine Learning in Injection Molding

Tobias Meisen, Thomas Thiele, Christian Hopmann, 2018 .

Virtual Production Intelligence (VPI)

Günther Schuh, Rudolf Reinhard, Urs Eppelt, 2017 .

Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application

Tobias Meisen, Philipp Meisen, Todd J. Bodnar, 2021, ICEIS.

Towards a Deep Learning-based Online Quality Prediction System for Welding Processes

Robert F. Maack, Hasan Tercan, M. Purrio, 2023, Procedia CIRP.

Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning

Hasan Tercan, Tobias Meisen, 2023, KDD.