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

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

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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

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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

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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