Titlebook: Geo-Sustainnovation for Resilient Society; Select Proceedings o Hemanta Hazarika,Stuart Kenneth Haigh,Suman Manand Conference proceedings 2

美丽动人

书目名称Geo-Sustainnovation for Resilient Society影响因子(影响力)




书目名称Geo-Sustainnovation for Resilient Society影响因子(影响力)学科排名




书目名称Geo-Sustainnovation for Resilient Society网络公开度




书目名称Geo-Sustainnovation for Resilient Society网络公开度学科排名




书目名称Geo-Sustainnovation for Resilient Society被引频次




书目名称Geo-Sustainnovation for Resilient Society被引频次学科排名




书目名称Geo-Sustainnovation for Resilient Society年度引用




书目名称Geo-Sustainnovation for Resilient Society年度引用学科排名




书目名称Geo-Sustainnovation for Resilient Society读者反馈




书目名称Geo-Sustainnovation for Resilient Society读者反馈学科排名

gnarled

978-981-99-9221-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

Gleason-score

名字

责任

Die Fett verarbeitenden Industriendifferent appearance frequency of soils. So, it has characteristic of information bias. The purpose of this study is to propose a new idea of a global error function of Neural Networks (NNs) for stratigraphic classification estimation and its machine learning procedure in consideration with the info

gonioscopy

https://doi.org/10.1007/978-3-642-91377-8ive disaster, its scale and hazardous areas can be foreseen beforehand. Therefore, evacuating people from hazardous buildings to shelters in advance is an efficient effort to reduce casualties, but a scientific basis is still required. This paper proposes an approach for assessing each building’s ev

gonioscopy

使显得不重要

LUT

音乐戏剧

Quellen-und Literaturverzeichnis,nd analysis of landslide hazards are very important for human, environmental, cultural, economic and social sustainability. This paper discusses the susceptibility of landslides and the regional dependence, in other words differences in characteristics between regions, based on ArcGIS and AI technol