Performance evaluation of NLP and CNN models for disaster detection using social media data DOI
Md. Azharul Islam,

Fazla Rabbi,

Niamat Ullah Ibne Hossain

et al.

Social Network Analysis and Mining, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 9, 2024

Language: Английский

Prediction and Trade-Off Analysis of Forest Ecological Service in Hunan Province on Explainable Deep Learning DOI Open Access

Weisi Li,

Wenju Jing,

Yuxin Tian

et al.

Forests, Journal Year: 2025, Volume and Issue: 16(4), P. 604 - 604

Published: March 30, 2025

Ecosystem services play a crucial role in maintaining ecological balance, providing essential functions. This study examines the trade-offs and synergies among five key ecosystem forests across different regions of Hunan Province, China. Various machine learning models are compared to predict service value (ESV) levels, with most effective predictive model identified. The SHAP (SHapley Additive exPlanations) analysis is employed identify environmental management factors influencing services. Our findings reveal significant regional variations services, eastern western showing superior soil conservation forest nutrient retention. In contrast, southern regions, particularly karst areas, display fewer between likely due effectiveness policies. further reveals that such as precipitation during warmest quarter, central government compensation funds, timber harvesting volume strongly influence ESV. provides valuable insights for improving policy-making rapidly developing underscoring importance protection strategies sustainable development.

Language: Английский

Citations

0
Exploring land cover change impacts on ecosystem services using machine learning technique and scenario simulation: case study of the Upper Citarum River Basin, Indonesia DOI
Andi Muhammad Yasser Hakim, Budi Heru Santosa, Dwi Nowo Martono

et al.

Modeling Earth Systems and Environment, Journal Year: 2025, Volume and Issue: 11(3)

Published: April 11, 2025

Language: Английский

Citations

0
Eco-climatological modeling approach for exploring spatiotemporal dynamics of ecosystem service values in response to land use and land cover changes in Riyadh, Saudi Arabia DOI
Abdulla ‐ Al Kafy,

Hamad Ahmed Altuwaijri

Theoretical and Applied Climatology, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

Citations

2
Performance evaluation of NLP and CNN models for disaster detection using social media data DOI
Md. Azharul Islam,

Fazla Rabbi,

Niamat Ullah Ibne Hossain

et al.

Social Network Analysis and Mining, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 9, 2024

Language: Английский

Citations

0