Markus Bregulla

According to our database, Markus Bregulla authored at least 14 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The Effect of Annotation Quality on Wear Semantic Segmentation by CNN.

Mühenad Bilal, Ranadheer Podishetti, Leonid Koval, Mahmoud A. Gaafar, Daniel Grossmann, Markus Bregulla

Sensors, August, 2024

Unlocking the Potential of Information Modeling for Root Cause Analysis in a Production Environment: A Comprehensive State-of-the-Art Review Using the Kitchenham Methodology.

Leonid Koval, Simon Knollmeyer, Selvine G. Mathias, Saara Asif, Muhammad Uzair Akmal, Daniel Grossmann, Markus Bregulla

IEEE Access, 2024

Automatized End Mill Wear Inspection Using a Novel Illumination Unit and Convolutional Neural Network.

Mühenad Bilal, Ranadheer Podishetti, Leonid Koval, Mahmoud A. Gaafar, Daniel Grossmann, Markus Bregulla

IEEE Access, 2024

2022

High Resolution Mask R-CNN-based Damage Detection on Titanium Nitride Coated Milling Tools for Condition Monitoring by using a New Illumination Technique.

Mühenad Bilal, Sunil Kancharana, Christian Mayer, Daniel Pfaller, Leonid Koval, Markus Bregulla, Rafal Cupek, Adam Ziebinski

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Damage Detection of Coated Milling Tools Using Images Captured by Cylindrical Shaped Enclosure Measurement Setup.

Mühenad Bilal, Christian Mayer, Sunil Kancharana, Markus Bregulla, Rafal Cupek, Adam Ziebinski

Proceedings of the Advances in Computational Collective Intelligence, 2022

2021

An Analysis of Convolutional Neural Network Models for Classifying Machine Tools.

Leonid Koval, Daniel Pfaller, Mühenad Bilal, Markus Bregulla, Rafal Cupek

Proceedings of the Advances in Computational Collective Intelligence, 2021

2017

Monitoring and Controlling Speed for an Autonomous Mobile Platform Based on the Hall Sensor.

Adam Ziebinski, Markus Bregulla, Marcin Fojcik, Sebastian Klak

Proceedings of the Computational Collective Intelligence - 9th International Conference, 2017

Model of a Production Stand Used for Digital Factory Purposes.

Markus Bregulla, Sebastian Schrittenloher, Jakub Piekarz, Marek Drewniak

Proceedings of the Computational Collective Intelligence - 9th International Conference, 2017

Improving the Engineering Process in the Automotive Field Through AutomationML.

Markus Bregulla, Flavian Meltzer

Proceedings of the Computational Collective Intelligence - 9th International Conference, 2017

2014

OPC UA server aggregation - The foundation for an internet of portals.

Daniel Grossmann, Markus Bregulla, Suprateek Banerjee, Dirk Schulz, Roland Braun

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation, 2014

2013

A new approach to increasing energy efficiency by utilizing cyber-physical energy systems.

Martin Bornschlegl, Michael Drechsel, Sven Kreitlein, Markus Bregulla, Jörg Franke

Proceedings of the 11th Workshop on Intelligent Solutions in Embedded Systems, 2013

Representative Vector Method for modeling of energy consumption for the assembly line.

Michal Fratczak, Tomasz Klopot, Jacek Czeczot, Markus Bregulla

Proceedings of the 18th International Conference on Methods & Models in Automation & Robotics, 2013

A new approach to integrate value stream analysis into a continuous energy efficiency improvement process.

Michael Drechsel, Martin Bornschlegl, Simon Spreng, Markus Bregulla, Jörg Franke

Proceedings of the IECON 2013, 2013

2009

PROFINET I/O Network Analyzer.

Rafal Cupek, Markus Bregulla, Lukasz Huczala

Proceedings of the Computer Networks - 16th Conference, 2009