Predictive multi-hazard hurricane data-based fragility model for residential homes
Multi-hazard hurricane data-based fragility models are able to represent multiple predictor
variables, be validated based on observed data, and consider variability in building …
variables, be validated based on observed data, and consider variability in building …
An imputation of first-floor elevation data for the avoided loss analysis of flood-mitigated single-family homes in Louisiana, United States
Purpose Statistical data imputation methods are important in a wide range of scientific
research; however, in construction management research, they are not used widely …
research; however, in construction management research, they are not used widely …
Rapid flood damage prediction and forecasting using public domain cadastral and address point data with fuzzy logic algorithms
Abstract National Flood Interoperability Experiment (NFIE) derived technologies and
workflows will offer the ability to rapidly forecast flood damages. Address Points used by …
workflows will offer the ability to rapidly forecast flood damages. Address Points used by …
Automatic Roof Type Classification Through Machine Learning for Regional Wind Risk Assessment
Roof type is one of the most critical building characteristics for wind vulnerability modeling. It
is also the most frequently missing building feature from publicly available databases. An …
is also the most frequently missing building feature from publicly available databases. An …
Reconstructing missing data of damaged buildings from post-hurricane reconnaissance data using XGBoost
Assessing building damage in coastal communities after a hurricane event is crucial for
reducing both immediate and long-term disaster impacts, as well as for enhancing resilience …
reducing both immediate and long-term disaster impacts, as well as for enhancing resilience …
Costs and benefits of flood mitigation in Louisiana
A Taghi Nezhad Bilandi - 2018 - repository.lsu.edu
Assessing the costs and benefits of hazard mitigation efforts is an essential component of
disaster management, planning, and resilience assessment. These calculations are …
disaster management, planning, and resilience assessment. These calculations are …
[PDF][PDF] Accuracy assessment of planimetric large-scale map data for decision-making
A Doskocz - Geodesy and Cartography, 2016 - bibliotekanauki.pl
This paper presents decision-making risk estimation based on planimetric large-scale map
data, which are data sets or databases which are useful for creating planimetric maps on …
data, which are data sets or databases which are useful for creating planimetric maps on …
[KNIHA][B] Development of a Regional Wind Risk Assessment Framework for Wood-frame Single-family Residential Building Stock
S Meng - 2023 - search.proquest.com
Over the past few decades, residential buildings along the coastal areas of the United States
have suffered enormous structural damage and economic losses due to hurricane strikes …
have suffered enormous structural damage and economic losses due to hurricane strikes …
[KNIHA][B] Costs and Benefits of Flood Mitigation in Louisiana
ATN Bilandi - 2018 - search.proquest.com
Assessing the costs and benefits of hazard mitigation efforts is an essential component of
disaster management, planning, and resilience assessment. These calculations are …
disaster management, planning, and resilience assessment. These calculations are …
Binary Building Attribute Imputation, Evaluation, and Comparison Approaches for Hurricane Damage Data Sets
Missing building attributes are problematic for development of data-based fragility models.
Relative to other disciplines, the application of imputation techniques is limited in the field of …
Relative to other disciplines, the application of imputation techniques is limited in the field of …