From Tables to Computer Vision: Transforming HPDC Process Data into Images for CNN-Based Deep Learning
This paper proposes a methodology for leveraging convolutional neural networks (CNNs) in conjunction with advanced data preprocessing to facilitate optimal quality control decision-making in high pressure casting (HPDC) processes. The approach assists in predicting key values of the dependent variab...
Saved in:
| Main Author: | A. Burzyńska |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Polish Academy of Sciences
2025-06-01
|
| Series: | Archives of Foundry Engineering |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/135634/AFE%202_2025_16-Final.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Current Trend of Industry 4.0 in Logistics and Transformation of Logistics Processes Using Digital Technologies: An Empirical Study in the Slovak Republic
by: Patrik Richnák
Published: (2022-11-01) -
An Investigation of the Adaptation of Turkish Textile Enterprises to Industry 4.0
by: Ahmet Özbek, et al.
Published: (2021-12-01) -
EVOLUTIONS OF GROUP MANAGEMENT DEVELOPMENT OF MOBILE ROBOTIC PLATFORMS IN WAREHOUSING 4.0.
by: Ігор Шакирович Невлюдов, et al.
Published: (2021-12-01) -
Lojistik 4.0 Üzerine Yapılan Araştırmaların Bibliyometrik Analizi
by: Muhammed Turğut, et al.
Published: (2023-01-01) -
Benchmarking of Anomaly Detection Methods for Industry 4.0: Evaluation, Ranking, and Practical Recommendations
by: Aurélie Cools, et al.
Published: (2025-05-01)