Machine learning framework for Hazard Extraction and Analysis of Trends (HEAT) in wildfire response-Reference-Cited by-同舟云学术

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Machine learning framework for Hazard Extraction and Analysis of Trends (HEAT) in wildfire response

Published:2023-11 Issue: Volume:167 Page:106252
ISSN:0925-7535
Container-title:Safety Science
language:en
Short-container-title:Safety Science

Author:

Andrade Sequoia R.^ORCID,Walsh Hannah S.

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety Research,Safety, Risk, Reliability and Quality,Building and Construction

Reference75 articles.

1. Knowledge discovery for early failure assessment of complex engineered systems using natural language processing;Andrade,2021

2. Discovering a failure taxonomy for early design of complex engineered systems using natural language processing;Andrade;J. Comput. Inf. Sci. Eng.,2022

3. Unveiling topics from scientific literature on the subject of self-driving cars using latent Dirichlet allocation;Ayele,2018

4. Latent Dirichlet allocation;Blei;J. Mach. Learn. Res.,2003

5. Text mining the contributors to rail accidents;Brown;IEEE Trans. Intell. Transp. Syst.,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Situational-Aware Multi-Graph Convolutional Recurrent Network (Sa-Mgcrn) for Travel Demand Forecasting During Wildfires;2024

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