Machine learning-supported manufacturing: a review and directions for future research
Author:
Affiliation:
1. Faculty of Engineering, Free University of Bozen-Bolzano, Bolzano, Italy
2. Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland
Funder
no funds, grants, or other support
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/21693277.2024.2326526
Reference158 articles.
1. Optimal Scheduling of Flexible Manufacturing System Using Improved Lion-Based Hybrid Machine Learning Approach
2. Prediction of weld area based on image recognition and machine learning in laser oscillation welding of aluminum alloy
3. Industrial Big Data Analytics: Challenges and Opportunities
4. Reinforcement learning for an intelligent and autonomous production control of complex job-shops under time constraints
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1. HICA: A MATLAB-based hierarchical image clustering algorithm for classifying parts suitable for additive and traditional manufacturing technologies;SoftwareX;2024-09
2. Deep learning-supported machine vision-based hybrid system combining inhomogeneous 2D and 3D data for the identification of surface defects;Production & Manufacturing Research;2024-07-12
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