Results 81 to 90 of about 4,869,914 (227)
A Synergistic CNN-DF Method for Landslide Susceptibility Assessment
The complex structures and intricate hyperparameters of existing deep learning (DL) models make achieving higher accuracy in landslide susceptibility assessment (LSA) time-consuming and labor-intensive. Deep forest (DF) is a decision tree-based DL framework that uses a cascade structure to process features, with model depth adapting to the input data ...
Jiangang Lu +6 more
openaire +2 more sources
ABSTRACT This article contributes a historical perspective to scholarship on migration and right‐wing politics in Germany. By examining legal texts, party programmes and parliamentary debates, it traces how West German national identity discourses shaped immigration and foreigner policies between the guest worker recruitment stop in 1973 and the ...
Simon Ahrens
wiley +1 more source
Regional Landslide Susceptibility Assessment for Wildland Management: A Matrix Approach
Land-use planning and land management in many areas requires large area or regional landslide-susceptibility evaluation. This is especially true of federally administered wildlands in the western United States.
DeGraff, J. V., Romesburg, H. Charles
core +1 more source
ABSTRACT Weather variability and shocks pose significant challenges for tropical developing countries, making it crucial to understand their effects on consumption to address the existing deficiencies among the most vulnerable groups. This study examines the impact of weather variability and shocks on household consumption in Panama, utilizing repeated
Ambar Lineth Chavez Espinosa +1 more
wiley +1 more source
The objective of this study is to attempt a new soft computing approach for assessment of landslide susceptibility in the Luc Yen district, Yen Bai province (Viet Nam) using a novel classifier ensemble model of Naïve Bayes and Rotation Forest.
Binh Thai Pham +6 more
doaj +1 more source
Landslide susceptibility assessment (LSA) holds crucial importance in guiding regional disaster prevention and reduction efforts. However, current deep learning (DL) models for LSA encounter challenges like insufficient landslide data samples and uneven distribution.
Tao Chen 0004 +5 more
openaire +2 more sources
Resolving a debate over social freedom
Abstract When I am unable to drive due to a road blockade, there seems to be a morally relevant difference between a case in which the road is blocked by workers and a case in which the road is blocked by a landslide. Many political philosophers tried to capture this pretheoretical judgment at a more abstract level through the formulation of a concept ...
Ilkin Huseynli
wiley +1 more source
An integrated approach for evaluating the effectiveness of landslide risk reduction in unplanned communities in the Caribbean [PDF]
Despite the recognition of the need for mitigation approaches to landslide risk in developing countries, the delivery of ‘on-the-ground’ measures is rarely undertaken. With respect to other ‘natural’ hazards it is widely reported that mitigation can pay.
Edmund Wright +3 more
core
A Framework for Quantifying Diverse Multi‐Hazard Interactions to Enhance Climate Resilience
A generalized framework for quantifying multi‐hazard interactions is developed and applied across four European regions. The framework captures regional hazard dependencies and joint probabilities, with methods tailored to different temporal scales. Results indicate increasing multi‐hazard event frequency under future climate scenarios, highlighting ...
Mohammed Sarfaraz Gani Adnan +13 more
wiley +1 more source
Novel Approaches in Landslide Monitoring and Data Analysis
Significant progress has been made in the last few years that has expanded the knowledge of landslide processes. It is, therefore, necessary to summarize, share and disseminate the latest knowledge and expertise.
core +1 more source

