An Analysis of Convolutional Neural Network Models for Classifying Machine Tools. - Leonid Koval; Daniel Pfaller; Mühenad Bilal; Markus Bregulla; Rafal Cupek (ICCCI (CCIS Volume), 2021)

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 (VISIGRAPP (5: VISAPP), 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)

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)

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)