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Muhammad Uzair Akmal
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2020 – today
- 2024
- [j1]Leonid Koval
, Simon Knollmeyer
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. IEEE Access 12: 80266-80282 (2024) - [c5]Saara Asif
Supervised Anomaly Detection for Production Line Images using Data Augmentation and Convolutional Neural Network. ETFA 2024: 1-8 - [c4]Simon Knollmeyer
Document Knowledge Graph to Enhance Question Answering with Retrieval Augmented Generation. ETFA 2024: 1-4 - [c3]Leonid Koval
Addressing the Complexity of AI Integration in Manufacturing: A Morphological Analysis. ETFA 2024: 1-8 - [c2]Simon Knollmeyer, Oguz Caymazer, Leonid Koval, Muhammad Uzair Akmal, Saara Asif, Selvine G. Mathias, Daniel Großmann:
Benchmarking of Retrieval Augmented Generation: A Comprehensive Systematic Literature Review on Evaluation Dimensions, Evaluation Metrics and Datasets. KMIS 2024: 137-148 - [c1]Saara Asif, Muhammad Uzair Akmal, Leonid Koval, Selvine G. Mathias, Simon Knollmeyer, Daniel Grossmann:
A Conceptual Framework for Addressing Class Imbalance in Image Data: Challenges and Strategies. IS 2024: 1-9
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last updated on 2024-12-18 18:27 CET by the dblp team
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