The risk of bias was evaluated using the Quality In Prognosis Studies tool and the Prediction model Risk Of Bias Assessment Tool by 2 investigators (MMS and MAS) independently. A narrative synthesis ...

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...

The lack of precise, autonomous tools for monitoring and classifying cattle behavior limits farmers’ ability to make proactive and informed decisions regarding grazing and herd management. Currently, ...

Abstract: Remote sensing for land use and land cover (LULC) classification using satellite imagery provides valuable insights to the prediction of the dynamical change of land use, the risk ...

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Land Use and Land Cover Classification with Sentinel-1 Time Series and Sentinel-2 Imagery Using ViT-U-Net Dual-Branch Network This repository contains the code for the thesis "Evaluating Vision ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Abstract: Accurate land use and land cover (LULC) classification from remote sensing images (RSIs) is a challenging task due to issues such as the coexistence of multiple objects, scale differences, ...

ABSTRACT: Rapid peri-urbanization in agricultural highland corridors can erode natural capital and undermine water security, yet few studies provide spatially explicit, multi-decadal valuations of ...