東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Application of soft computing techni...

Indian Geotechnical Conference ((2023 :)

FindBook

Google Book

Amazon

博客來

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Application of soft computing techniques in geotechnical engineering and risk analysis/ edited by Priti Maheshwari, Alok Bhardwaj, Vishwas A. Sawant.
其他題名:	proceedings of the Indian Geotechnical Conference 2023 /
其他作者:	Maheshwari, Priti.
團體作者:	Indian Geotechnical Conference
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xii, 245 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	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
標題:	Geotechnical engineering - Congresses. - Data processing -
電子資源:	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 /
LDR:02815nmm a2200337 a 4500 001 2421672
003 DE-He213
005 20251029120410.0
006 m d
007 cr nn 008maaau
008 260505s2025 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 $a Indian Geotechnical Conference $d (2023 : $c Roorkee, India) $3 3791571
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 3802847
650 0 $a Risk assessment $x Data processing $v Congresses. $3 3802848
650 0 $a Soft computing $v Congresses. $3 606821
650 1 4 $a Geoengineering. $3 3538885
650 2 4 $a Building Materials. $3 894213
650 2 4 $a Geotechnical Engineering and Applied Earth Sciences. $3 3538886
700 1 $a Maheshwari, Priti. $3 3791574
700 1 $a Bhardwaj, Alok. $3 3802844
700 1 $a Sawant, Vishwas A. $3 3802845
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in civil engineering ; $v v. 715. $3 3802846
856 4 0 $u https://doi.org/10.1007/978-981-96-9529-4
950 $a Engineering (SpringerNature-11647)