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Geo-sustainnovation for resilient society = select proceedings of CREST 2023 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Geo-sustainnovation for resilient society/ edited by Hemanta Hazarika ... [et al.].
Reminder of title:	select proceedings of CREST 2023 /
remainder title:	CREST 2023
other author:	Hazarika, Hemanta.
corporate name:	International Conference on Construction Resources for Environmentally Sustainable Technologies
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	xxv, 403 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	PART I: Information Based (AI, IoT, VR etc.) Measures for Natural Disaster Mitigation -- Chapter 1. A Stratigraphic Classification Estimation Method by the D-Layer Neural Networks -- Chapter 2. An Approach for Evacuation Vulnerability Assessment with Consideration of Predicted Evacuation Time -- Chapter 3. Development and Applicability Assessment of a Tunnel Face Monitoring System Against Tunnel Face Collapse -- Chapter 4. Development of Real-time Measuring System of Tip Position with Deep Mixing Methods -- Chapter 5. Evaluation of Landslide Triggering Mechanism during Rainfall in Slopes Containing Vertical Cracks -- Chapter 6. Landslide Risk Prediction and Regional Dependence Evaluation Based on Disaster History Using Machine Learning and Deep Learning -- Chapter 7. Machine Learning for Estimation of Surface Ground Structure by H/V Spectral Ratio -- Chapter 8. Regular Deformation-Based Landslide Potential Detection with DInSAR - A Case Study of Taipei City -- Chapter 9. Utilization of AI-BasedDiagnostic Imaging for Advanced and Efficient Tunnel Maintenance. etc.
Contained By:	Springer Nature eBook
Subject:	Geotechnical engineering - Congresses. - Environmental aspects -
Online resource:	https://doi.org/10.1007/978-981-99-9219-5
ISBN:	9789819992195

Geo-sustainnovation for resilient society = select proceedings of CREST 2023 /
Geo-sustainnovation for resilient societyselect proceedings of CREST 2023 /[electronic resource] :CREST 2023edited by Hemanta Hazarika ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xxv, 403 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in civil engineering,v. 4462366-2565 ;. - Lecture notes in civil engineering ;v. 446..

PART I: Information Based (AI, IoT, VR etc.) Measures for Natural Disaster Mitigation -- Chapter 1. A Stratigraphic Classification Estimation Method by the D-Layer Neural Networks -- Chapter 2. An Approach for Evacuation Vulnerability Assessment with Consideration of Predicted Evacuation Time -- Chapter 3. Development and Applicability Assessment of a Tunnel Face Monitoring System Against Tunnel Face Collapse -- Chapter 4. Development of Real-time Measuring System of Tip Position with Deep Mixing Methods -- Chapter 5. Evaluation of Landslide Triggering Mechanism during Rainfall in Slopes Containing Vertical Cracks -- Chapter 6. Landslide Risk Prediction and Regional Dependence Evaluation Based on Disaster History Using Machine Learning and Deep Learning -- Chapter 7. Machine Learning for Estimation of Surface Ground Structure by H/V Spectral Ratio -- Chapter 8. Regular Deformation-Based Landslide Potential Detection with DInSAR - A Case Study of Taipei City -- Chapter 9. Utilization of AI-BasedDiagnostic Imaging for Advanced and Efficient Tunnel Maintenance. etc.

This book presents select proceedings of the 2nd International Conference on Construction Resources for Environmentally Sustainable Technologies (CREST 2023), and focuses on sustainability, promotion of new ideas and innovations in design, construction and maintenance of geotechnical structures with the aim of contributing towards climate change adaptation and disaster resiliency to meet the UN Sustainable Development Goals (SDGs) It presents latest research, information, technological advancement, practical challenges encountered, and solutions adopted in the field of geotechnical engineering for sustainable infrastructure towards climate change adaptation. This volume will be of interest to those in academia and industry alike.

ISBN: 9789819992195

Standard No.: 10.1007/978-981-99-9219-5doiSubjects--Topical Terms:

3626111
Geotechnical engineering
--Environmental aspects--Congresses.

LC Class. No.: TA703.5

Dewey Class. No.: 624.151

Geo-sustainnovation for resilient society = select proceedings of CREST 2023 /
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