Continual Learning for Human-Machine Collaboration in VUCA Environments
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-71739-0_5
Reference25 articles.
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2. Schuh, G., Scholz, P., Nadicksbernd, M.: Identification and characterization of challenges in the future of manufacturing for the application of machine learning. In: 2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS), Riga, Latvia: IEEE, pp. 1–10 (2020). https://doi.org/10.1109/ITMS51158.2020.9259318
3. Pizoń, J., Gola, A.: Human–machine relationship—perspective and future roadmap for industry 5.0 solutions. Machines 11(2), 203 (2023). https://doi.org/10.3390/machines11020203
4. Sreedharan, R., Saikouk, T.: An integration of smart technology in manufacturing. In: Kandasamy, J., Sakthivel, A.R., Paulo Davim, J. (eds.) Progress in Sustainable Manufacturing. MINEN, pp. 149–166. Springer, Singapore (2023). https://doi.org/10.1007/978-981-99-0201-9_10
5. Akkaya, B., Ahmed, J.: VUCA-RR toward industry 5.0. In: Akkaya, B., Guah, M.W., Jermsittiparsert, K., Bulinska-Stangrecka, H., Kaya, Y. (eds.) Agile management and VUCA-RR: opportunities and threats in industry 4.0 towards society 5.0, pp. 1–11. Emerald Publishing Limited, UK (2022). https://doi.org/10.1108/978-1-80262-325-320220001
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