PulseTrendingJournal ClubResearchersJournalsExplore
Instagram
HomeTrendingJournal ClubExplore
Synapse
⌘+K
Synapse
March 8, 2024Open Access

Integrating Human Domain Knowledge into Artificial Intelligence for Hybrid Forest Fire Prediction: Case Studies from South Korea and Italy

View Full Paper
Ask AI
Bookmark
Share

Authors

HJHyun‐Woo JoSCShelby CorningPKPavel Kiparisov

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Jo et al. (2024) studied this question.

synapsesocial.com/papers/68e7509fb6db6435876c8ebfhttps://doi.org/10.5194/egusphere-egu24-12320
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Forest Fire Prediction: A Spatial Machine Learning and Neural Network Approach2024 · 26 citations
  2. 2A comparative study of machine learning and convolutional neural network approaches for forest fire occurrence prediction2026
  3. 3Development of a Forest Fire Diagnostic Model Based on Machine Learning Techniques2024 · 8 citations
  4. 4Exploring forest fire susceptibility and management strategies in Western Himalaya: Integrating ensemble machine learning and explainable AI for accurate prediction and comprehensive analysis2024 · 69 citations
  5. 5Physically aligned forest fire risk prediction: A deep learning framework coupling fuel and climate multivariate factors2026