Abstract: Analytically solving complex or large-scale differential equations is often difficult or even impossible, making numerical integration methods indispensable. However, as all numerical ...

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This repository represents a substantial extension and refinement of the benchmarking framework originally established by Cantini et al.. Our repository builds upon their foundational work in ...

scIB-E is a comprehensive deep learning-based benchmarking framework for evaluating single-cell RNA sequencing (scRNA-seq) data integration methods. Unified Benchmarking Framework: Evaluates 16 ...

The probability integral method is one of the most widely used methods for predicting surface subsidence induced by underground mining in China. In its parameter calculation, the least square ...

The increasing integration of distributed generations brings great challenges to the power grid. In this paper, a distributed photovoltaic (PV) integration methodology in distribution network is ...

A new study has revealed the development of PRECAST, a data integration method for multiple spatial transcriptomics datasets. Spatially resolved transcriptomics is a set of emerging technologies that ...

Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. Mie theory is a rigorous solution to scattering problems in spherical coordinate system.