Editorial for Special Issue “Applications of Artificial Intelligence and Machine Learning in Geotechnical Engineering”

Since its inception in the mid-1950s [...]

Bibliographic Details
Main Authors: Mark Jaksa, Zhongqiang Liu
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Geosciences
Subjects:
n/a
Online Access:https://www.mdpi.com/2076-3263/11/10/399
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author Mark Jaksa
Zhongqiang Liu
author_facet Mark Jaksa
Zhongqiang Liu
author_sort Mark Jaksa
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description Since its inception in the mid-1950s [...]
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spelling doaj.art-405bd64b4ade4bc4beaf4b6d8ee53a112023-11-22T18:23:20ZengMDPI AGGeosciences2076-32632021-09-01111039910.3390/geosciences11100399Editorial for Special Issue “Applications of Artificial Intelligence and Machine Learning in Geotechnical Engineering”Mark Jaksa0Zhongqiang Liu1School of Civil, Environmental and Mining Engineering, University of Adelaide, Adelaide, SA 5005, AustraliaNorwegian Geotechnical Institute, Sognsveien 72, 0855 Oslo, NorwaySince its inception in the mid-1950s [...]https://www.mdpi.com/2076-3263/11/10/399n/a
spellingShingle Mark Jaksa
Zhongqiang Liu
Editorial for Special Issue “Applications of Artificial Intelligence and Machine Learning in Geotechnical Engineering”
Geosciences
n/a
title Editorial for Special Issue “Applications of Artificial Intelligence and Machine Learning in Geotechnical Engineering”
title_full Editorial for Special Issue “Applications of Artificial Intelligence and Machine Learning in Geotechnical Engineering”
title_fullStr Editorial for Special Issue “Applications of Artificial Intelligence and Machine Learning in Geotechnical Engineering”
title_full_unstemmed Editorial for Special Issue “Applications of Artificial Intelligence and Machine Learning in Geotechnical Engineering”
title_short Editorial for Special Issue “Applications of Artificial Intelligence and Machine Learning in Geotechnical Engineering”
title_sort editorial for special issue applications of artificial intelligence and machine learning in geotechnical engineering
topic n/a
url https://www.mdpi.com/2076-3263/11/10/399
work_keys_str_mv AT markjaksa editorialforspecialissueapplicationsofartificialintelligenceandmachinelearningingeotechnicalengineering
AT zhongqiangliu editorialforspecialissueapplicationsofartificialintelligenceandmachinelearningingeotechnicalengineering