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Application of soft computing techni...

Indian Geotechnical Conference ((2023 :)

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Application of soft computing techniques in geotechnical engineering and risk analysis = proceedings of the Indian Geotechnical Conference 2023 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Application of soft computing techniques in geotechnical engineering and risk analysis/ edited by Priti Maheshwari, Alok Bhardwaj, Vishwas A. Sawant.
Reminder of title:	proceedings of the Indian Geotechnical Conference 2023 /
other author:	Maheshwari, Priti.
corporate name:	Indian Geotechnical Conference
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xii, 245 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	Artificial Intelligence Application in Geotechnical Engineering A Review -- Machine Learning Based Earthquake Prediction Model A Comparative Study of Time Series Analysis and Conventional Algorithms -- Prediction of the Critical Failure Surface and Factor of Safety of Finite Slopes Using Machine Learning Algorithms -- Comparing Machine Learning Techniques for Accurate Prediction of Unconfined Compressive Strength of Fine-Grained Soil -- Post event landslide detection using ResU Net model -- A Comparative Study for Predicting Standard Penetration Number Through ML Techniques.
Contained By:	Springer Nature eBook
Subject:	Geotechnical engineering - Congresses. - Data processing -
Online resource:	https://doi.org/10.1007/978-981-96-9529-4
ISBN:	9789819695294

Application of soft computing techniques in geotechnical engineering and risk analysis = proceedings of the Indian Geotechnical Conference 2023 /
Application of soft computing techniques in geotechnical engineering and risk analysisproceedings of the Indian Geotechnical Conference 2023 /[electronic resource] :edited by Priti Maheshwari, Alok Bhardwaj, Vishwas A. Sawant. - Singapore :Springer Nature Singapore :2025. - xii, 245 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in civil engineering,v. 7152366-2565 ;. - Lecture notes in civil engineering ;v. 715..

Artificial Intelligence Application in Geotechnical Engineering A Review -- Machine Learning Based Earthquake Prediction Model A Comparative Study of Time Series Analysis and Conventional Algorithms -- Prediction of the Critical Failure Surface and Factor of Safety of Finite Slopes Using Machine Learning Algorithms -- Comparing Machine Learning Techniques for Accurate Prediction of Unconfined Compressive Strength of Fine-Grained Soil -- Post event landslide detection using ResU Net model -- A Comparative Study for Predicting Standard Penetration Number Through ML Techniques.

This book presents the select proceedings of the annual conference of the Indian Geotechnical Society 2023. The conference brings together researchers, practitioners, and academicians on various aspects of geotechnical and geoenvironmental engineering including application of soft computing techniques in geotechnical engineering, numerical modeling of various substructures, characterization of geomaterials, ground improvement techniques, rock mechanics and rock engineering, and risk analysis. This volume brings together cutting-edge research and practical applications from researchers in the field. Featuring insights on AI/ML integration, geoinformatics, and geohazard risk analysis, this book showcases how emerging technologies are transforming geotechnical problem-solving. With a strong focus on soft computing techniques and probabilistic methods, it addresses the critical role of uncertainty in geomaterials and substructure design. The contents of this book will not only be of interest to researchers but also to practicing engineers.

ISBN: 9789819695294

Standard No.: 10.1007/978-981-96-9529-4doiSubjects--Topical Terms:

3802847
Geotechnical engineering
--Data processing--Congresses.

LC Class. No.: TA703.5

Dewey Class. No.: 624.151

Application of soft computing techniques in geotechnical engineering and risk analysis = proceedings of the Indian Geotechnical Conference 2023 /
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520 $a This book presents the select proceedings of the annual conference of the Indian Geotechnical Society 2023. The conference brings together researchers, practitioners, and academicians on various aspects of geotechnical and geoenvironmental engineering including application of soft computing techniques in geotechnical engineering, numerical modeling of various substructures, characterization of geomaterials, ground improvement techniques, rock mechanics and rock engineering, and risk analysis. This volume brings together cutting-edge research and practical applications from researchers in the field. Featuring insights on AI/ML integration, geoinformatics, and geohazard risk analysis, this book showcases how emerging technologies are transforming geotechnical problem-solving. With a strong focus on soft computing techniques and probabilistic methods, it addresses the critical role of uncertainty in geomaterials and substructure design. The contents of this book will not only be of interest to researchers but also to practicing engineers.
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