This research aims to develop a machine learning and simulation-based approach to predict disaster preparedness using various demographic features from ...

Inspired by this, in this study, we propose a machine learning and simulation-based framework to predict the county-level disaster preparedness through.

Aug 17, 2021 · This research aims to develop a machine learning and simulation-based approach to predict disaster preparedness using various demographic ...

In this paper, we developed an integrated machine learning and Monte Carlo simulation framework to aid relief agencies in predicting the disaster preparedness ...

Sep 1, 2024 · The study also examines the challenges associated with data quality, model transferability, and the nonstationary nature of natural disasters.

... structure of the proposed framework is outlined in Figure 1. The proposed framework consists of four modules, including data source integration, model ...

This article develops a framework to predict evacuation after railway incidents and identify the contributing factors to the evacuation.

Dec 14, 2023 · For severe weather systems, computer modeling allows forecasters to predict the system's behavior, such as the likely intensity of a hurricane ...

Our approach leverages machine learning algorithms to establish relationships between public attitudes towards disaster preparedness and demographic ...

This article provides a literature review of state-of-the-art machine learning (ML) algorithms for disaster and pandemic management.