https://orcid.org/0000-0002-5415-9899
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Alessia Napoleone, Elisa Negri, Marco Macchi & Alessandro Pozzetti. (2023) How the technologies underlying cyber-physical systems support the reconfigurability capability in manufacturing: a literature review. International Journal of Production Research 61:9, pages 3122-3144.
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Simone Massulini Acosta, Rodrigo Marcel Araujo Oliveira & Ângelo Márcio Oliveira Sant’Anna. (2023) Machine learning algorithms applied to intelligent tyre manufacturing. International Journal of Computer Integrated Manufacturing 0:0, pages 1-11.
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Shreyanshu Parhi, Kanchan Joshi & Milind Akarte. (2023) Decision-making in smart manufacturing: A framework for performance measurement. International Journal of Computer Integrated Manufacturing 36:2, pages 190-218.
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John P.T. Mo & Ronald C. Beckett. (2022) Transdisciplinary system of systems development in the trend to X4.0 for intelligent manufacturing. International Journal of Computer Integrated Manufacturing 35:1, pages 21-35.
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Alexandre Dolgui, Fabio Sgarbossa & Marco Simonetto. (2022) Design and management of assembly systems 4.0: systematic literature review and research agenda. International Journal of Production Research 60:1, pages 184-210.
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Z. Yahouni, A. Ladj, F. Belkadi, O. Meski & M. Ritou. (2021) A smart reporting framework as an application of multi-agent system in machining industry. International Journal of Computer Integrated Manufacturing 34:5, pages 470-486.
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Ting Zheng, Marco Ardolino, Andrea Bacchetti & Marco Perona. (2021) The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review. International Journal of Production Research 59:6, pages 1922-1954.
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Shreyanshu Parhi, Kanchan Joshi & Milind Akarte. (2021) Smart manufacturing: a framework for managing performance. International Journal of Computer Integrated Manufacturing 34:3, pages 227-256.
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Manuel Sanchez, Ernesto Exposito & Jose Aguilar. (2020) Industry 4.0: survey from a system integration perspective. International Journal of Computer Integrated Manufacturing 33:10-11, pages 1017-1041.
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Frédéric Rosin, Pascal Forget, Samir Lamouri & Robert Pellerin. (2020) Impacts of Industry 4.0 technologies on Lean principles. International Journal of Production Research 58:6, pages 1644-1661.
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Paris Papavasileiou, Eleni D. Koronaki, Gabriele Pozzetti, Martin Kathrein, Christoph Czettl, Andreas G. Boudouvis & Stéphane P.A. Bordas. (2023) Equation-based and data-driven modeling strategies for industrial coating processes. Computers in Industry 149, pages 103938.
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Mutaz Ryalat, Hisham ElMoaqet & Marwa AlFaouri. (2023) Design of a Smart Factory Based on Cyber-Physical Systems and Internet of Things towards Industry 4.0. Applied Sciences 13:4, pages 2156.
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Gorkem Sariyer, Sachin Kumar Mangla, Yigit Kazancoglu, Lei Xu & Ceren Ocal Tasar. (2022) Predicting cost of defects for segmented products and customers using ensemble learning. Computers & Industrial Engineering 171, pages 108502.
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Imran Ahmed, Gwanggil Jeon & Francesco Piccialli. (2022) From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where. IEEE Transactions on Industrial Informatics 18:8, pages 5031-5042.
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Ravi Sharma & Balázs Villányi. (2022) Evaluation of corporate requirements for smart manufacturing systems using predictive analytics. Internet of Things 19, pages 100554.
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Peter Dobra & Janos Josvai. (2022) Predicting the impact of type changes on Overall Equipment Effectiveness (OEE) through machine learning. Predicting the impact of type changes on Overall Equipment Effectiveness (OEE) through machine learning.
Mohd Javaid, Abid Haleem, Ravi Pratap Singh & Rajiv Suman. (2021) Artificial Intelligence Applications for Industry 4.0: A Literature-Based Study. Journal of Industrial Integration and Management 07:01, pages 83-111.
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Xiao Jian Tan, Wai Zhe Leow & Wai Loon Cheor. (2021) A Simple, Precise, and High-Speed Die Edge Detection Framework Based on Improved K-Mean and Landscape Analysis for the Semiconductor Industry. Arabian Journal for Science and Engineering 47:2, pages 1643-1655.
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Jože M. Rožanec, Patrik Zajec, Elena Trajkova, Beno Šircelj, Bor Brecelj, Inna Novalija, Paulien Dam, Blaž Fortuna & Dunja Mladenić. (2022) Towards a Comprehensive Visual Quality Inspection for Industry 4.0*. IFAC-PapersOnLine 55:10, pages 690-695.
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Jože M. Rožanec, Elena Trajkova, Paulien Dam, Blaž Fortuna & Dunja Mladenić. (2022) Streaming Machine Learning and Online Active Learning for Automated Visual Inspection.. IFAC-PapersOnLine 55:2, pages 277-282.
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Jonas Oeing, Laura Maria Neuendorf, Lukas Bittorf, Waldemar Krieger & Norbert Kockmann. (2021) Flooding Prevention in Distillation and Extraction Columns with Aid of Machine Learning Approaches. Chemie Ingenieur Technik 93:12, pages 1917-1929.
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Massimo Bertolini, Davide Mezzogori, Mattia Neroni & Francesco Zammori. (2021) Machine Learning for industrial applications: A comprehensive literature review. Expert Systems with Applications 175, pages 114820.
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Zheng Song, Jianguo Yu, Yue He & Jikai He. (2021) Leaky Training: A Robustness Improvement Scheme for Autoencoder Based Network Intrusion Detection System under Online Learning. Leaky Training: A Robustness Improvement Scheme for Autoencoder Based Network Intrusion Detection System under Online Learning.
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Abd Al Rahman M. Abu Ebayyeh & Alireza Mousavi. (2020) A Review and Analysis of Automatic Optical Inspection and Quality Monitoring Methods in Electronics Industry. IEEE Access 8, pages 183192-183271.
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