Leonid Koval

Orcid: 0000-0003-4845-6579

According to our database1, Leonid Koval authored at least 10 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2024
The Effect of Annotation Quality on Wear Semantic Segmentation by CNN.
Sensors, August, 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.
IEEE Access, 2024

Automatized End Mill Wear Inspection Using a Novel Illumination Unit and Convolutional Neural Network.
IEEE Access, 2024

A Conceptual Framework for Addressing Class Imbalance in Image Data: Challenges and Strategies.
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.
Proceedings of the 16th International Joint Conference on Knowledge Discovery, 2024

Addressing the Complexity of AI Integration in Manufacturing: A Morphological Analysis.
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.
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.
Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 2024

2022
High Resolution Mask R-CNN-based Damage Detection on Titanium Nitride Coated Milling Tools for Condition Monitoring by using a New Illumination Technique.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021
An Analysis of Convolutional Neural Network Models for Classifying Machine Tools.
Proceedings of the Advances in Computational Collective Intelligence, 2021


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