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)

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)

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)

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)

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

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)

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)

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)