Publications by authors named "Albert Efimov"
Article Synopsis
- Remote sensing is crucial for tracking forest biodiversity and resources by using various sensors and machine learning methods for data analysis.
- The study focuses on predicting forest characteristics like species, age, height, and basal area to estimate carbon stock using Sentinel-2 satellite data and the XGBoost algorithm, achieving reasonable prediction accuracy.
- Two methods for estimating carbon stock were explored: a direct approach utilizing remote sensing data and a hierarchical approach using inventory characteristics and conversion equations, leading to a comprehensive solution for carbon stock assessment.
Classical polygraph screenings are routinely used by critical businesses such as banking, law enforcement agencies, and federal governments. A major concern of scientific communities is that screenings are prone to errors. However, screening errors are not only due to the method, but also due to human (polygraph examiner) error.
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