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Coseismic landslides = intelligent prediction and recognition /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Coseismic landslides/ by Xianmin Wang ... [et al.].
Reminder of title:	intelligent prediction and recognition /
other author:	Wang, Xianmin.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xiv, 111 p. :ill., digital ;24 cm.
[NT 15003449]:	Near real-time intelligent prediction and cause characteristics of coseismic landslides -- Intelligent identification of coseismic landslides across an extensive region -- Cross-earthquake-event intelligent recognition of coseismic landslides.
Contained By:	Springer Nature eBook
Subject:	Landslides - Forecasting -
Online resource:	https://doi.org/10.1007/978-981-95-1297-3
ISBN:	9789819512973

Coseismic landslides = intelligent prediction and recognition /
Coseismic landslidesintelligent prediction and recognition /[electronic resource] :by Xianmin Wang ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xiv, 111 p. :ill., digital ;24 cm.

Near real-time intelligent prediction and cause characteristics of coseismic landslides -- Intelligent identification of coseismic landslides across an extensive region -- Cross-earthquake-event intelligent recognition of coseismic landslides.

Focusing on Habitable Earth for sustainability, this book develops novel and sophisticated deep learning algorithms and explores their successful application in intelligent prediction and recognition of coseismic landslides. These algorithms have originality and unique advantages in relatively high accuracy, low false alarms, strong generalization, and good interpretability. They were successfully applied in a series of violent earthquakes occurring worldwide from 2008 to 2022. This book provides significant techniques to support the 72-hour "golden window" for survivors in emergency rescue and to instruct postseismic rational reconstruction and development in society and economy. With cutting-edge algorithms and international urgent disaster-mitigating demands, this book caters to geoscientists, environmentalists, engineering geologists, and hazard geologists. It also appeals graduate students in the above fields.

ISBN: 9789819512973

Standard No.: 10.1007/978-981-95-1297-3doiSubjects--Topical Terms:

3790666
Landslides
--Forecasting

LC Class. No.: QE599.A2

Dewey Class. No.: 551.307

Coseismic landslides = intelligent prediction and recognition /
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505 0 $a Near real-time intelligent prediction and cause characteristics of coseismic landslides -- Intelligent identification of coseismic landslides across an extensive region -- Cross-earthquake-event intelligent recognition of coseismic landslides.
520 $a Focusing on Habitable Earth for sustainability, this book develops novel and sophisticated deep learning algorithms and explores their successful application in intelligent prediction and recognition of coseismic landslides. These algorithms have originality and unique advantages in relatively high accuracy, low false alarms, strong generalization, and good interpretability. They were successfully applied in a series of violent earthquakes occurring worldwide from 2008 to 2022. This book provides significant techniques to support the 72-hour "golden window" for survivors in emergency rescue and to instruct postseismic rational reconstruction and development in society and economy. With cutting-edge algorithms and international urgent disaster-mitigating demands, this book caters to geoscientists, environmentalists, engineering geologists, and hazard geologists. It also appeals graduate students in the above fields.
650 0 $a Landslides $x Forecasting $x Data processing. $3 3790666
650 0 $a Landslide hazard analysis. $3 596837
650 1 4 $a Natural Hazards. $3 1005730
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Geology. $3 516570
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Wang, Xianmin. $3 3790665
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