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Generative AI in industrial machine vision: a review
Hans Aoyang Zhou, Dominik Wolfschläger, Constantinos Florides, Jonas Werheid, Hannes Behnen, Jan-Henrik Woltersmann, Tiago C. Pinto, Marco Kemmerling, Anas Abdelrazeq and Robert H. Schmitt Journal of Intelligent Manufacturing (2025) https://doi.org/10.1007/s10845-025-02604-6
Enhancing Energy Efficiency in Metallurgical Operations Using AI: A State of the Art Review
Swapnil S. Chaudhari, Minal Shahakar, Puja Gholap, Pramod B. Dhamdhere, Shital S. Agrawal, Rupesh Gangadhar Mahajan, Anant Sidhappa Kurhade and Shital Yashwant Waware Journal of Mines, Metals and Fuels 1595 (2025) https://doi.org/10.18311/jmmf/2025/48703
Hossein Taheri and Arefeh Salimi Beni 853 (2025) https://doi.org/10.1007/978-3-031-84477-5_70
RA-UNet: A New Deep Learning Segmentation Method for Semiconductor Wafer Defect Analysis on Fine-Grained Scanning Electron Microscope (SEM) Images
Yibo Qiao, Yanning Chen, Fang Liu, Zhouzhouzhou Mei, Yuening Luo, Yining Chen, Yiyi Liao, Bo Wu and Yongfeng Deng IEEE Transactions on Semiconductor Manufacturing 38(2) 185 (2025) https://doi.org/10.1109/TSM.2025.3546296
Large scale foundation models for intelligent manufacturing applications: a survey
Machine Vision—Moving from Industry 4.0 to Industry 5.0
Maria Tzampazaki, Charalampos Zografos, Eleni Vrochidou and George A. Papakostas Applied Sciences 14(4) 1471 (2024) https://doi.org/10.3390/app14041471
Hot rolled steel surface defect detection and classification using an automatic ensemble approach
Real-time defect detection in 3D printing using machine learning
Mohammad Farhan Khan, Aftaab Alam, Mohammad Ateeb Siddiqui, Mohammad Saad Alam, Yasser Rafat, Nehal Salik and Ibrahim Al-Saidan Materials Today: Proceedings 42 521 (2021) https://doi.org/10.1016/j.matpr.2020.10.482
A more reliable defect detection and performance improvement method for panel inspection based on artificial intelligence