Role of Machine Learning in Sustainable Manufacturing Practices: An Outline
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6774-2_48
Reference42 articles.
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3. Ranjan, N., Kumar, R., Kumar, R., Kaur, R., Singh, S.: Investigation of fused filament fabrication-based manufacturing of ABS-Al composite structures: prediction by machine learning and optimization. J. Mater. Eng. Performance 1–20 (2022)
4. Huang, J., Koroteev, D.D.: Artificial intelligence for planning of energy and waste management. Sustain. Energy Technol. Assess. 47, 101426 (2021). https://doi.org/10.1016/j.seta.2021.101426
5. Sidhu, A.S., Singh, S., Kumar, R., Pimenov, D.Y., Giasin, K.: Prioritizing energy-intensive machining operations and gauging the influence of electric parameters: an industrial case study. Energies 14(16), 4761 (2021). [Online]. Available: https://www.mdpi.com/1996-1073/14/16/4761
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