Muhammad Uzair Akmal

According to our database, Muhammad Uzair Akmal authored at least 9 papers between 2024 and 2025.

Collaborative distances:

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

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

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

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

Proceedings of the Artificial Intelligence Applications and Innovations, 2025

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

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

Proceedings of the Artificial Intelligence: Methodology, Systems, and Applications, 2024