國立高雄大學圖資館 |

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Application of soft computing techniques in geotechnical engineering and risk analysisedited by Priti Maheshwari, Alok Bhardwaj, Vishwas A. Sawant.
Reminder of title:	proceedings of the Indian Geotechnical Conference 2023 /
other author:	Maheshwari, Priti.
corporate name:
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xii, 245 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Geotechnical engineeringCongresses.Data processing
Online resource:	https://doi.org/10.1007/978-981-96-9529-4
ISBN:	9789819695294$q(electronic bk.)

Application of soft computing techniques in geotechnical engineering and risk analysisproceedings 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.1..

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$q(electronic bk.)

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

1005717
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 analysisproceedings of the Indian Geotechnical Conference 2023 /
LDR:02816nmm a2200337 a 4500 001 690322
003 DE-He213
005 20251029120410.0
006 m d
007 cr nn 008maaau
008 260409s2025 si s 0 eng d
020 $a 9789819695294$q(electronic bk.)
020 $a 9789819695287$q(paper)
024 7 $a 10.1007/978-981-96-9529-4 $2 doi
035 $a 978-981-96-9529-4
040 $a GP $c GP
041 0 $a eng
050 4 $a TA703.5
072 7 $a TNC $2 bicssc
072 7 $a TEC009150 $2 bisacsh
072 7 $a TNC $2 thema
082 0 4 $a 624.151 $2 23
090 $a TA703.5 $b .I39 2023
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Application of soft computing techniques in geotechnical engineering and risk analysis $h [electronic resource] : $b proceedings of the Indian Geotechnical Conference 2023 / $c edited by Priti Maheshwari, Alok Bhardwaj, Vishwas A. Sawant.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xii, 245 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Lecture notes in civil engineering, $x 2366-2565 ; $v v. 715
505 0 $a 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.
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.
650 0 $a Geotechnical engineering $x Data processing $v Congresses. $3 1005717
650 0 $a Risk assessment $x Data processing $v Congresses. $3 1005718
650 0 $a Soft computing $v Congresses. $3 387156
650 1 4 $a Geoengineering. $3 913449
650 2 4 $a Building Materials. $3 274688
650 2 4 $a Geotechnical Engineering and Applied Earth Sciences. $3 913450
700 1 $a Maheshwari, Priti. $3 1003761
700 1 $a Bhardwaj, Alok. $3 1005715
700 1 $a Sawant, Vishwas A. $3 1005716
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in civil engineering ; $v v.1. $3 758492
856 4 0 $u https://doi.org/10.1007/978-981-96-9529-4
950 $a Engineering (SpringerNature-11647)