A review and case study of Artificial intelligence and Machine learning methods used for ground condition prediction ahead of tunnel boring Machines
Author(s): |
Prosper E. A. Ayawah
Sylvanus Sebbeh-Newton Jessica W. A. Azure Azupuri G. A. Kaba Angelina Anani Samuel Bansah Hareyani Zabidi |
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Medium: | journal article |
Language(s): | English |
Published in: | Tunnelling and Underground Space Technology, July 2022, v. 125 |
Page(s): | 104497 |
DOI: | 10.1016/j.tust.2022.104497 |
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10663401 - Published on:
09/05/2022 - Last updated on:
09/05/2022