Autonomous AI shaft excavator: a case study on AI fairness for sustainability and green technology
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41693-024-00134-w.pdf
Reference21 articles.
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3. Drukker K, Chen W, Gichoya J, Gruszauskas N, Kalpathy-Cramer J, Koyejo S, Myers K, Sá RC, Sahiner B, Whitney H, Zhang Z, Giger M (2023) Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment. J Med Imag 10(6):061104. https://doi.org/10.1117/1.JMI.10.6.061104
4. Hara T et al (2019) Small-diameter vertical shafts constructed in the shallow space of steep mountainous areas. Underground Space. https://doi.org/10.1016/j.undsp.2018.10.005
5. HeshanFernando, et al (2020) What lies beneath: material classification for autonomous excavators using proprioceptive force sensing and machine learning. Autom Constr. https://doi.org/10.1016/j.autcon.2020.103374
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