Selvine G. Mathias

According to our database, Selvine G. Mathias authored at least 23 papers between 2020 and 2024.

Collaborative distances:

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

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

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

Proceedings of the 12th IEEE International Conference on Intelligent Systems, 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

Proceedings of the 16th International Joint Conference on Knowledge Discovery, 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

Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 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

Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 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

Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 2024

2022

Use Cases of Data Reduction to Time Series Data in Sensor Monitoring.

Selvine G. Mathias, Daniel Grossmann

J. Ubiquitous Syst. Pervasive Networks, 2022

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

A framework for monitoring multiple databases in industries using OPC UA.

Selvine G. Mathias, Sebastian Schmied, Daniel Grossmann

J. Ambient Intell. Humaniz. Comput., 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

Efficacy of Statistical Formulations on Acoustic Emission Signals for Tool Wear Predictions.

Selvine G. Mathias, Daniel Grossmann

Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics, 2021

Investigations on Numerical Techniques for Detecting Variations in Acoustic Emissions.

Selvine G. Mathias, Mathew John Mancha, Daniel Grossmann, Bernd Kujat, Kay Schiebold

Proceedings of the IECON 2021, 2021

A concept towards the evolution and versioning of aggregated information models.

Sebastian Schmied, Daniel Großmann, Selvine G. Mathias, Ralph Klaus Müller

Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 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

Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021

Exploring Distance Based Approaches for Reducing Sensor Data in Defect Related Prognosis.

Selvine G. Mathias, Daniel Grossmann, Tapanta Bhanja

Proceedings of the 12th International Conference on Ambient Systems, 2021

2020

Erstellung und Management von Informationsmodellen für bestehende Produktionssysteme.

Sebastian Schmied, Daniel Großmann, Ralph Klaus Müller, Selvine G. Mathias, Ulrich Jumar

Autom., 2020

Monitoring of Discrete Electrical Signals from Welding Processes using Data Mining and IIoT Approaches.

Selvine G. Mathias, Sebastian Schmied, Daniel Grossmann

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

An approach for an industrial information model management.

Sebastian Schmied, Daniel Großmann, Selvine G. Mathias, Ralph Klaus Müller

Proceedings of the IEEE Conference on Industrial Cyberphysical Systems, 2020

An approach for aggregation and historicization of production entities in the graph.

Sebastian Schmied, Daniel Großmann, Selvine G. Mathias, Ralph Klaus Müller

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 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

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 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

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

An Investigation on Database Connections in OPC UA Applications.

Selvine G. Mathias, Sebastian Schmied, Daniel Grossmann

Proceedings of the 11th International Conference on Ambient Systems, 2020

Vertical Integration via Dynamic Aggregation of Information in OPC UA.

Sebastian Schmied, Daniel Großmann, Selvine G. Mathias, Suprateek Banerjee

Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020