OPC UA server aggregation - The foundation for an internet of portals. - Daniel Grossmann; Markus Bregulla; Suprateek Banerjee; Dirk Schulz 002; Roland Braun (ETFA, 2014)

Offene Integrationsplattform für das Feldgeräte-Management (Open Integration Platform for Device Management) - Daniel Grossmann (2014)

An Electronic Device Description Language based approach for communication with dbms and file system in an industrial automation scenario. - Suprateek Banerjee; Daniel Grossmann (ETFA, 2016)

Analysis of OPC unified architecture for healthcare applications. - Jorge Miranda; Jorge Cabral 001; Suprateek Banerjee; Daniel Grossmann; Christian Fischer Pedersen; Stefan Rahr Wagner (ETFA, 2017)

A systematic top-down information modelling approach for workshop-type manufacturing systems. - Sebastian Schmied; Daniel Grossmann; Bastian Denk (ETFA, 2019)

OPC UA and Dynamic Web Services: A generic flexible Industrial Communication Approach. - Suprateek Banerjee; Daniel Großmann (ICCAE, 2019)

Vertical Integration via Dynamic Aggregation of Information in OPC UA. - Sebastian Schmied; Daniel Großmann; Selvine G. Mathias; Suprateek Banerjee (ACIIDS (Companion), 2020)

An Investigation on Database Connections in OPC UA Applications. - Selvine G. Mathias; Sebastian Schmied; Daniel Grossmann (ANT/EDI40, 2020)

Machine Learning for evaluating Kaizens in Volkswagen Production System - An Industrial Case study. - Akshay Thakur; Robert Beck; Sanaz Mostaghim; Daniel Großmann (DSAA, 2020)

A Compliance Testing Structure for Implementation of Industry Standards through OPC UA. - Selvine G. Mathias; Sebastian Schmied; Daniel Grossmann; Ralph Klaus Müller; Björn Mroß (ETFA, 2020)

Validation of dynamic interoperability and virtual commissioning of production equipment in early development stages. - Ralph Klaus Müller; Daniel Großmann; Sebastian Schmied; Selvine G. Mathias (ETFA, 2020)

An approach for aggregation and historicization of production entities in the graph. - Sebastian Schmied; Daniel Großmann; Selvine G. Mathias; Ralph Klaus Müller (ETFA, 2020)

Survey into predictive key performance indicator analysis from data mining perspective. - Akshay Thakur; Robert Beck; Sanaz Mostaghim; Daniel Großmann (ETFA, 2020)

An approach for an industrial information model management. - Sebastian Schmied; Daniel Großmann; Selvine G. Mathias; Ralph Klaus Müller (ICPS, 2020)

Monitoring of Discrete Electrical Signals from Welding Processes using Data Mining and IIoT Approaches. - Selvine G. Mathias; Sebastian Schmied; Daniel Grossmann (ICTAI, 2020)

Modeling and Implementing of Industrie 4.0 Scenarios. - Albert Fleischmann; Anton Friedl; Daniel Großmann; Werner Schmidt 001 (M2P, 2020)

Erstellung und Management von Informationsmodellen für bestehende Produktionssysteme. - Sebastian Schmied; Daniel Großmann; Ralph Klaus Müller; Selvine G. Mathias; Ulrich Jumar (Autom., 2020)

Exploring Distance Based Approaches for Reducing Sensor Data in Defect Related Prognosis. - Selvine G. Mathias; Daniel Grossmann; Tapanta Bhanja (ANT/EDI40, 2021)

Architecture of a Model in the Middle approach for virtual commissioning and integration of production entities. - Ralph Klaus Müller; Daniel Großmann; Sebastian Schmied; Selvine G. Mathias (ETFA, 2021)

A concept towards the evolution and versioning of aggregated information models. - Sebastian Schmied; Daniel Großmann; Selvine G. Mathias; Ralph Klaus Müller (ETFA, 2021)

Investigations on Numerical Techniques for Detecting Variations in Acoustic Emissions. - Selvine G. Mathias; Mathew John Mancha; Daniel Grossmann; Bernd Kujat; Kay Schiebold (IECON, 2021)

Efficacy of Statistical Formulations on Acoustic Emission Signals for Tool Wear Predictions. - Selvine G. Mathias; Daniel Grossmann (IN4PL, 2021)

Information modelling with focus on existing manufacturing systems. - Sebastian Schmied; Selvine G. Mathias; Daniel Großmann; Ralph Klaus Müller; Ulrich Jumar (Annu. Rev. Control., 2021)

A framework for monitoring multiple databases in industries using OPC UA. - Selvine G. Mathias; Sebastian Schmied; Daniel Grossmann (J. Ambient Intell. Humaniz. Comput., 2021)

Integration of Manufacturing Information via Dynamic Information Model Aggregation. - Sebastian Schmied; Daniel Grossmann; Selvine G. Mathias; Ralph Klaus Müller (Vietnam. J. Comput. Sci., 2021)

5G and DetNet: Towards holistic determinism in industrial networks. - Niklas Ambrosy; Thomas Kampa; Ulrich Jumar; Daniel Großmann (ICIT, 2022)

IP-based Architecture for an Edge Cloud enabled Factory: Concept and Requirements. - Thomas Kampa; Christian Klaus Müller; Daniel Großmann (WFCS, 2022)

Co-Simulation im Planungsprozess für die Informationsmodell-basierte virtuelle Inbetriebnahme. - Ralph Klaus Müller; Daniel Großmann; Sebastian Schmied; Ulrich Jumar (Autom., 2022)

Use Cases of Data Reduction to Time Series Data in Sensor Monitoring. - Selvine G. Mathias; Daniel Grossmann (J. Ubiquitous Syst. Pervasive Networks, 2022)

Half&Half: Intra-Flow Load Balancing and High Availability for Edge Cloud-enabled Manufacturing. - Thomas Kampa; Daniel Grossmann (ETFA, 2023)

Ontology based knowledge graph for information and knowledge management in factory planning. - Simon Knollmeyer; Björn Mroß; Ralph Klaus Müller; Daniel Großmann (ETFA, 2023)

High Availability for virtualized Programmable Logic Controllers with Hard Real-Time Requirements on Cloud Infrastructures. - Thomas Kampa; Amer El-Ankah; Daniel Grossmann (INDIN, 2023)

Layered Data-Centric AI to Streamline Data Quality Practices for Enhanced Automation. - Muhammad Uzair Akmal; Saara Asif; Leonid Koval; Selvine G. Mathias; Simon Knollmeyer; Daniel Grossmann (AIMSA, 2024)

Supervised Anomaly Detection for Production Line Images using Data Augmentation and Convolutional Neural Network. - Saara Asif; Muhammad Uzair Akmal; Leonid Koval; Simon Knollmeyer; Selvine G. Mathias; Daniel Grossmann (ETFA, 2024)

Document Knowledge Graph to Enhance Question Answering with Retrieval Augmented Generation. - Simon Knollmeyer; Muhammad Uzair Akmal; Leonid Koval; Saara Asif; Selvine G. Mathias; Daniel Großmann (ETFA, 2024)

Addressing the Complexity of AI Integration in Manufacturing: A Morphological Analysis. - Leonid Koval; Muhammad Uzair Akmal; Saara Asif; Selvine G. Mathias; Simon Knollmeyer; Daniel Grossmann (ETFA, 2024)

Benchmarking of Retrieval Augmented Generation: A Comprehensive Systematic Literature Review on Evaluation Dimensions, Evaluation Metrics and Datasets. - Simon Knollmeyer; Oguz Caymazer; Leonid Koval; Muhammad Uzair Akmal; Saara Asif; Selvine G. Mathias; Daniel Großmann (KMIS, 2024)

A Conceptual Framework for Addressing Class Imbalance in Image Data: Challenges and Strategies. - Saara Asif; Muhammad Uzair Akmal; Leonid Koval; Selvine G. Mathias; Simon Knollmeyer; Daniel Grossmann (IS, 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)

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)

Interlocking IT/OT security for edge cloud-enabled manufacturing. - Thomas Kampa; Christian Klaus Müller; Daniel Großmann (Ad Hoc Networks, 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, 2024)

Handling Anonymized Non-numerical Features in Data Using Transformations for Regression Models. - Selvine G. Mathias; Muhammad Uzair Akmal; Saara Asif; Simon Knollmeyer; Leonid Koval; Daniel Grossmann (AIAI (3), 2025)

Industrial Image Grouping Through Pre-Trained CNN Encoder-Based Feature Extraction and Sub-Clustering. - Selvine G. Mathias; Saara Asif; Muhammad Uzair Akmal; Simon Knollmeyer; Leonid Koval; Daniel Grossmann (ICAART (2), 2025)

Benchmarking CNN Architectures for Tool Classification: Evaluating CNN Performance on a Unique Dataset Generated by Novel Image Acquisition System. - Mühenad Bilal; Ranadheer Podishetti; Daniel Grossmann; Markus Bregulla (IEEE Access, 2025)