Search Results - "Knollmeyer, Simon"

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  1. 1
    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

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

    Published in IEEE access (2024)
    “…Data from production environments is now available in unprecedented volumes, making the problem-solving of incidents through root cause analysis…”
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  2. 2
    Document Knowledge Graph to Enhance Question Answering with Retrieval Augmented Generation

    Document Knowledge Graph to Enhance Question Answering with Retrieval Augmented Generation by Knollmeyer, Simon, Akmal, Muhammad Uzair, Koval, Leonid, Asif, Saara, Mathias, Selvine G., GroBmann, Daniel

    “…Reusing and managing existing knowledge from available documents is crucial for success in the factory planning domain. By leveraging Artificial Intelligence…”
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    Conference Proceeding
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  3. 3
    Addressing the Complexity of AI Integration in Manufacturing: A Morphological Analysis

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

    “…This paper introduces a novel methodological approach to transform a traditional model-centric machine learning pipeline into a morphological box. Utilizing a…”
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    Conference Proceeding
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  4. 4
    Supervised Anomaly Detection for Production Line Images using Data Augmentation and Convolutional Neural Network

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

    “…In the manufacturing industry, automated optical inspection aims to improve the detection and classification of anomalies by utilizing artificial intelligence…”
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  5. 5
    Ontology based knowledge graph for information and knowledge management in factory planning

    Ontology based knowledge graph for information and knowledge management in factory planning by Knollmeyer, Simon, Mros, Bjorn, Muller, Ralph Klaus, Grosmann, Daniel

    “…The amount of necessary information and knowledge to fulfill the tasks within the factory planning domain is rapidly growing. Currently, data and documents…”
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    Conference Proceeding
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  6. 6
    A Conceptual Framework for Addressing Class Imbalance in Image Data: Challenges and Strategies

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

    “…The presence of class imbalance, denoting a dis-proportionate distribution of class instances in a dataset, has emerged as a significant challenge in the era…”
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