logo
ResearchBunny Logo
Machine learning-based observation-constrained projections reveal elevated global socioeconomic risks from wildfire

Earth Sciences

Machine learning-based observation-constrained projections reveal elevated global socioeconomic risks from wildfire

Y. Yu, J. Mao, et al.

This groundbreaking study by Yan Yu and colleagues reveals vital insights into wildfire projections and socioeconomic risks. By utilizing a machine learning framework, the research highlights the urgent need for strategic wildfire preparedness, particularly in western and central Africa, where future wildfire activity is expected to rise amid increasing socioeconomic development.

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

Extracting Useful Emergency Information from Social Media: A Method Integrating Machine Learning and Rule-Based Classification
Business

Extracting Useful Emergency Information from Social Media: A Method Integrating Machine Learning and Rule-Based Classification

H. Shen, Y. Ju, et al.

A machine learning-based approach for constructing remote photoplethysmogram signals from video cameras
Medicine and Health

A machine learning-based approach for constructing remote photoplethysmogram signals from video cameras

R. C. Ontiveros, M. Elgendi, et al.

Revealing Influencing Factors on Global Waste Distribution via Deep-learning Based Dumpsite Detection From Satellite Imagery
Engineering and Technology

Revealing Influencing Factors on Global Waste Distribution via Deep-learning Based Dumpsite Detection From Satellite Imagery

X. Sun, D. Yin, et al.

Machine learning-based tsunami inundation prediction derived from offshore observations
Earth Sciences

Machine learning-based tsunami inundation prediction derived from offshore observations

I. E. Mulia, N. Ueda, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny