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Open access Sep 2026

Protecting Forests Through Intelligent Edge Computing: CBAM-UNet for Real-Time Deforestation Detection

The accelerating loss and degradation of forest ecosystems necessitate accurate and efficient monitoring approaches. This study presents a lightweight, attention-enhanced semantic segmentation framework for binary forest canopy segmentation using satellite imagery. The proposed model integrates a U-Net architecture wit...

S. P · 0 citations
Open access Sep 2026

Time Series Modeling of Annual Maximum Daily Streamflow for Flood Forecasting

Abstract Flood is a devastating phenomenon responsible for the loss of human lives, destruction of roads, buildings, electric systems and damage to hydraulic structures, leading to a great economic loss to the country. This study aims to identify a suitable time series model.Forecasting plays a major role in environmen...

S. P · 0 citations

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