AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
This study assesses deforestation susceptibility in Sanjay Gandhi National Park, Maharashtra, India, using machine learning and remote sensing techniques and indicates that distance from forest edges, population density, and forest density are the most influential drivers of deforestation.
Landslides are among the most destructive natural hazards in mountainous regions, causing severe economic losses and infrastructure damage. Reliable susceptibility mapping is essential for hazard mitigation and sustainable land-use planning, particularly in tectonically active areas such as southeastern Türkiye. This s...
A climate-informed flood susceptibility model for the Pontian District, Johor is developed by integrating CMIP6 climate projections with machine learning approaches, demonstrating the value of integrating climate projections with explainable machine learning to support climate-resilient flood risk management and land-u...
The results demonstrate that the proposed LSTM–RF framework optimized by BHA provides an accurate and reliable solution for landslide susceptibility mapping, supporting disaster risk reduction, infrastructure planning, and sustainable land-use management.
Spatial information on deforestation is essential for supporting site-level forest management in areas experiencing land-cover change. This study aimed to detect deforestation in the Tepo Asa Aroa Forest Management Unit and to model its spatial probability and driving factors. Spectral changes between 2015 and 2026 wer...
Forest encroachment poses a significant threat to protected forest ecosystems due to increasing human activities, including infrastructure development, agricultural expansion, and settlement growth. Continuous monitoring is therefore essential for effective conservation planning and sustainable forest management. Thi...
The integrated methodology demonstrates the potential of combining SAR data and ML techniques for reliable flood susceptibility assessment, providing a replicable framework for other flood-prone regions.
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