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Muhammad Uzair Akmal
Muhammad Uzair Akmal
Technische Hochschule Ingolstadt
Verified email at thi.de
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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
L Koval, S Knollmeyer, SG Mathias, S Asif, MU Akmal, D Grossmann, ...
IEEE Access, 2024
12024
Layered Data-Centric AI to Streamline Data Quality Practices for Enhanced Automation
MU Akmal, S Asif, L Koval, SG Mathias, S Knollmeyer, D Grossmann
International Conference on Artificial Intelligence: Methodology, Systems …, 2024
2024
Document Knowledge Graph to Enhance Question Answering with Retrieval Augmented Generation
S Knollmeyer, MU Akmal, L Koval, S Asif, SG Mathias, D Groβmann
2024 IEEE 29th International Conference on Emerging Technologies and Factory …, 2024
2024
Supervised Anomaly Detection for Production Line Images using Data Augmentation and Convolutional Neural Network
S Asif, MU Akmal, L Koval, S Knollmeyer, SG Mathias, D Grossmann
2024 IEEE 29th International Conference on Emerging Technologies and Factory …, 2024
2024
Addressing the Complexity of AI Integration in Manufacturing: A Morphological Analysis
L Koval, MU Akmal, S Asif, SG Mathias, S Knollmeyer, D Grossmann
2024 IEEE 29th International Conference on Emerging Technologies and Factory …, 2024
2024
A Conceptual Framework for Addressing Class Imbalance in Image Data: Challenges and Strategies
S Asif, MU Akmal, L Koval, SG Mathias, S Knollmeyer, D Grossmann
2024 IEEE 12th International Conference on Intelligent Systems (IS), 1-9, 2024
2024
Pattern Identifications in Transformed Acoustic Signals Using Classification Models
SG Mathias, MU Akmal, S Asif, L Koval, S Knollmeyer, D Grossmann
Procedia CIRP 130, 93-99, 2024
2024
Benchmarking of Retrieval Augmented Generation: A Comprehensive Systematic Literature Review on Evaluation Dimensions, Evaluation Metrics and Datasets
S Knollmeyer, O Caymazer, L Koval, MU Akmal, S Asif, SG Mathias, ...
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