Earth observation data underpin climate science, disaster response, and environmental policy, yet inconsistent grid definitions often limit their accuracy and reuse. Researchers now present a unified, ...
Agents use facial recognition, social media monitoring and other tech tools not only to identify undocumented immigrants but ...
InterpolateR is one of the most efficient R packages for spatial interpolation. It leverages vectorized operations to maximize computational efficiency while maintaining high accuracy in interpolation ...
ABSTRACT: Soil fertility is a determining factor for agricultural productivity and food security. This study aims to map the spatial variability of soil fertility parameters (nitrogen, pH, and carbon) ...
ABSTRACT: Soil fertility is a determining factor for agricultural productivity and food security. This study aims to map the spatial variability of soil fertility parameters (nitrogen, pH, and carbon) ...
Water scarcity in semiarid regions requires the efficient management of groundwater for population growth and regional development. Evaluating the flow rate variability and electrical conductivity (EC ...
School of Physics and Optoelectronics, Xiangtan University, Xiangtan, Hunan, China Accurate reconstruction of optical fiber curves has important applications in fields like medicine, aerospace, and ...
Abstract: Seismic data interpolation is an important processing method for improving the quality of seismic data. Traditional interpolation methods often face limitations due to their dependence on ...
Main.java - Reads input, constructs the divided difference table, and generates polynomial representations. LagrangeNumeratorCoef.java - Handles computations for Lagrange interpolation coefficients.
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