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

FindBook

Google Book

Amazon

博客來

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Geo-sustainnovation for resilient society/ edited by Hemanta Hazarika ... [et al.].
其他題名:	select proceedings of CREST 2023 /
其他題名:	CREST 2023
其他作者:	Hazarika, Hemanta.
團體作者:	International Conference on Construction Resources for Environmentally Sustainable Technologies
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xxv, 403 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	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
標題:	Geotechnical engineering - Congresses. - Environmental aspects -
電子資源:	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 /
LDR:02938nmm a22003495a 4500 001 2370144
003 DE-He213
005 20240307173609.0
006 m d
007 cr nn 008maaau
008 241127s2024 si s 0 eng d
020 $a 9789819992195 $q (electronic bk.)
020 $a 9789819992188 $q (paper)
024 7 $a 10.1007/978-981-99-9219-5 $2 doi
035 $a 978-981-99-9219-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TA703.5
072 7 $a TN $2 bicssc
072 7 $a TEC009020 $2 bisacsh
072 7 $a TN $2 thema
082 0 4 $a 624.151 $2 23
090 $a TA703.5 $b .I61 2023
111 2 $a International Conference on Construction Resources for Environmentally Sustainable Technologies $n (2nd : $d 2023 : $c Fukuoka, Japan) $3 3713322
245 1 0 $a Geo-sustainnovation for resilient society $h [electronic resource] : $b select proceedings of CREST 2023 / $c edited by Hemanta Hazarika ... [et al.].
246 3 $a CREST 2023
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a xxv, 403 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Lecture notes in civil engineering, $x 2366-2565 ; $v v. 446
505 0 $a 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.
520 $a 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.
650 0 $a Geotechnical engineering $x Environmental aspects $v Congresses. $3 3626111
650 0 $a Sustainable engineering $v Congresses. $3 3205843
650 1 4 $a Civil Engineering. $3 891037
650 2 4 $a Environmental Civil Engineering. $3 3592857
650 2 4 $a Geoengineering. $3 3538885
650 2 4 $a Environmental Engineering/Biotechnology. $3 899474
700 1 $a Hazarika, Hemanta. $3 3217104
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in civil engineering ; $v v. 446. $3 3715284
856 4 0 $u https://doi.org/10.1007/978-981-99-9219-5
950 $a Engineering (SpringerNature-11647)