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The 2nd ISSMGE ERTC10 Webinar on "Numerical Methods in the next generation of Eurocode 7"

The ISSMGE ERTC10 "Evaluation of Eurocode 7", in cooperation with CEN TC250/SC7 (European standardization committee responsible for EC7) and NEN (Dutch standardization organization), is organizing its 2nd Webinar related to the ongoing evolution of our main standar ...

ISSMGE News and Information Circular May 2022

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ISSMGE News & Information Circular May  2022 ISSMGE COUNCIL MEETING SUNDAY 1ST MAY 2022 At the Council Meeting in Sydney, Dr Marc Ballouz was elected as the next President of ISSMGE for the period 2022 - 2026.  The Vice-Presidents will be: Africa ...

Sydney launch of the ISSMGE Time Capsule

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Fifth TC309/TC304 Student Contest (groundwater time-series forecasting) in MLRA2021

MLRA2021 groundwater time-series forecasting Machine learning prediction event for the international conference in "Machine learning & Risk assessment in geoengineering" The machine learning competition is organized as an event at the MLRA2021 (Machine Learnin ...

Dr Marc Ballouz elected as ISSMGE President 2022 – 2026 at the Sydney Council Meeting

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ISSMGE Council Meeting, Sunday 1 May 2022 At the Council Meeting in Sydney, Dr Marc Ballouz was elected as the next President of ISSMGE for the period 2022 - 2026.  The Vice-Presidents will be: Africa - Professor Marawan Shahien Asia - Professor Keh-Jian Shou Aus ...

Reference List for Machine Learning and its Applications in Geotechnical Engineering - PART IV: PERFORMANCE COMPARISON OF MACHINE LEARNING ALGORITHMS USING THE SAME DATASET

1 Performance comparison of ML algorithms 1.1 Landslide [1] Yao, X., Tham, L. G., and Dai, F. C. (2008). Landslide susceptibility mapping based on support vector machine: a case study on natural slopes of Hong Kong, China. Geomorphology, 101(4), 572-582. (One-class support ...

Reference List for Machine Learning and its Applications in Geotechnical Engineering - PART III: APPLICATIONS IN GEOTECHNICAL ENGINEERING

1    Artificial neural networks [1]    Shahin, M. A., Jaksa, M. B., and Maier, H. R. (2001). Artificial Neural Network Applications in Geotechnical Engineering. Australian Geomechanics, 36(1), 4962. [2]    Shahin, M. A., Jaksa, M. B. ...

Reference List for Machine Learning and its Applications in Geotechnical Engineering - PART II: MACHINE LEARNING ALGORITHMS

1  Supervised learning 1.1 Decision tree learning [1] Breiman, Leo, Friedman, J. H., Olshen, R. A. and Stone, C. J. (1984). Classification and regression trees. Monterey, CA: Wadsworth and Brooks/Cole Advanced Books and Software. (Google citation: 37373) [2] Dattatreya, G ...

Reference List for Machine Learning and its Applications in Geotechnical Engineering - PART I: NEED TO KNOW KNOWLEDGE

1 Probability Theory [1] Jeffreys, H. (1983). Theory of Probability. Oxford University Press, Oxford, New York. [2] Sivia, D.S., and Skilling, J. (2006). Data Analysis: A Bayesian Tutorial. Oxford University Press, New York. [3] Ang, A.H.-S., and Tang, W.H. (2007). Probability ...

Geotechnical Engineering Education “Time Capsule” Report

The contribution of TC306 to the Time Capsule Project has been uploaded under the tab "Reports" of the TC306 webpage. The contents of the TC306 Time Capsule Report were discussed at the committee meeting of April 2021 and the country-specific contributions were provided ...


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International Society for Soil Mechanics and Geotechnical Engineering

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  • Email: [email protected]
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